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Leadership and AI: Between Responsibility and Opportunity

Leadership and AI: Between Responsibility and Opportunity

by Marina Begic | May 6, 2025 | Digital Transformation, Leadership and AI, Leadership Tips | 0 comments

Leadership and AI: Between Responsibility and Opportunity

Do you prefer to listen to this article? Click below to access our AI-generated audio version!

Leadership and AI: Between responsibility and opportunity

Artificial intelligence is no longer a pipe dream – it is changing our working world here and now. It is about much more than technology: it is about attitude. How do we want to lead when machines think for themselves? How do we provide orientation when uncertainty is becoming the new constant?

Trust instead of fear

Many leaders worry about being replaced by AI. But this fear is rarely justified. Julie Sweet, CEO of Accenture, says that not a single one of her client companies plans to replace employees with AI. On the contrary – the technology is intended to relieve, not displace.

An international study of over 4,000 executives shows that the majority see AI as an opportunity for efficiency, better decision-making, and higher quality of collaboration. At the same time, there is often a lack of know-how, courage, and a clear strategy to truly leverage this potential.

This is where leaders are called upon to take responsibility – not in the future, but now. After all, we cannot outsource technological developments. We are challenged to recognize the opportunities of AI – and to boldly break new ground.

Beyond Efficiency – How AI Can Make Leadership Better

AI is often reduced to speed, cost-cutting, and automation. But its true value lies in enhancing quality: helping us to act more strategically, communicate more clearly, lead more reflectively, and master complexity.

Artificial Intelligence does not replace leadership – it enhances and empowers it. When used wisely, it strengthens human connection, creates space for meaningful work and reflection – all the things that define modern leadership.

AI as a lever for better leadership – not only for efficiency

Three Levels Where AI Strengthens Leadership

1. Individual Level

Through AI, leaders gain time by automating tasks like text generation, research, or translation. This frees up space for strategic thinking, personal development, and effective leadership.

2. Team Level

AI-powered tools improve collaboration and communication through feedback systems, knowledge platforms, and digital simulations. Meetings become more structured, decisions more grounded.

3. Organizational Level
Data-driven decisions, automated processes, and innovation impulses – AI enables organizations to become adaptive and learning-driven. Leadership becomes a catalyst for true transformation. 

Technology Is Not Enough – Values Remain Central

The more algorithms become part of our everyday lives, the more crucial human qualities become: empathy, responsibility, and ethical orientation. Good leadership remains human where it matters – wherever decisions impact people.

The use of AI brings new questions: What should be automated – and what must remain human? Which values must be preserved? Leadership today means finding clear answers and demonstrating authentic values.

At the same time, even though empathy itself can’t be programmed, AI can sometimes appear more patient or neutral than humans. What matters is not what AI can do theoretically, but how we shape and use it.

Leading today means creating spaces for experimentation, encouraging reflection, and integrating technology responsibly, not out of tech enthusiasm, but because we want to shape the future.

Learning as a Leadership Mandate – Rethought with AI

Judith Marks, CEO of Otis, summed it up: Leadership means setting a strategic direction while continuously learning. This is precisely where AI can unlock enormous potential.

What many e-learning platforms have long promised, AI can finally deliver: individualized, flexible, and needs-based learning – anytime, anywhere. Learning paths adapt dynamically, and feedback is delivered in real-time.

Especially when it comes to building soft skills – like conversation techniques, feedback, or conflict management – AI is a powerful enabler. Intelligent simulations react live, reflect real-world challenges, and promote sustainable development.

At MDI, we actively use this technology in leadership training, especially for interactive roleplays designed to strengthen leadership skills. Participants receive direct, situation-based feedback, boosting their effectiveness through repetition and practice.

Why the big breakthrough is still a long time coming

Why the Big Breakthrough Is Still Pending

Despite positive attitudes, studies show that only 13% of companies report a tangible AI impact. Why is that?

One key factor: Trust. Julie Sweet distinguishes two dimensions:

  • Functional trust: Does the technology work reliably? Built through usage, experience, and good change management.

  • Emotional trust: Will AI take away my job? Will it diminish my role?

It’s often emotional trust that becomes the stumbling block. Yet history shows: change has always been a constant in the labor market. 80% of today’s jobs didn’t exist 100 years ago.

Thus, the real question is not: “What will AI take from me?” but rather: “What can it give me – and what will I make of it?” This is where modern leadership truly begins: by driving a shift in perspective.

First Steps – How Leaders Can Get Started

1. Experiment yourself: Try tools like ChatGPT for everyday tasks. Build realistic familiarity.

2. Communicate openly: Share your experiences and uncertainties. It builds trust.

3. Enable experimentation: Encourage your team to try new tools. Build a culture of learning.

4. Discuss ethics: What can and should be automated? What must remain human?

5. Identify potentials: Where along the value chain can AI create real added value?

6. Lead by example: Show authentic values, use AI thoughtfully, and actively shape the future.

Conclusion: Future-Proof Leadership Combines Humanity and Technology

AI is not a threat nor a miracle cure – it is a tool. How we use it will determine its value.

If we recognize Artificial Intelligence as an opportunity to make our work more meaningful, our communication clearer, and our decisions more sound, we create a new kind of leadership – one that unites technology and humanity. For greater impact, greater purpose, and a stronger future.

Marina Begic

Marina Begic

Head of Business Development – Digital Transformation Driver

Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

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AI Hears; Humans Listen: Become a Master of Attunement

AI Hears; Humans Listen: Become a Master of Attunement

by Hamza Khan | Apr 18, 2025 | Digital Transformation, Leadership and AI, Leadership in the digital transformation | 0 comments

AI Hears; Humans Listen: Become a Master of Attunement

Prefer to listen to the article? Click below to access our AI speech-generated audio. However, if you want to read it as usual, keep scrolling.

AI Hears; Humans Listen: Become a Master of Attunement

Not Black Mirror. Not Severance. The reality we’re in is starting to feel a lot more like Her.

According to eye-opening research published in Harvard Business Review, the most common use of generative AI isn’t writing code, synthesizing data, or even creating content.

It’s companionship.

Let that sink in. At the frontier of one of the most advanced technological revolutions in history, people aren’t just looking for answers or performance enhancements—they’re looking to feel heard.

The Burnout I Didn’t Catch

At this year’s Leadership Horizon, my partner Bailey Parnell and I are set to announce the groundbreaking AI product we’re building at SkillsCamp. It’s the fastest-moving venture I’ve ever been a part of. 

In my previous companies, we’d maybe pivot once or twice a year. Now we’re pivoting multiple times a day. Strategies shift at breakfast. Features change by lunch. Priorities rearrange by dinner.

It’s exhilarating. It’s also exhausting.

In the middle of this whirlwind, we missed something important—one of our teammates was struggling to keep up. The constant change had become disorienting. They were slipping into the early stages of burnout. And here’s the part that really hit me:

I wrote the book on beating burnout.

The Burnout Gamble is explicitly about how leaders can prevent precisely this kind of thing. On top of that, during my keynote speech at Leadership Horizon a few years back, I preached the gospel of human-centered leadership—of slowing down to tune in. Of attunement.

Even though I had been hearing my colleague, the truth is, I hadn’t been listening.

I had only been reacting. Optimizing. Building the future of leadership. But not asking, in the way that only a human can:

“Kaif al hal?” (كيف الحال؟)

It’s Arabic for “How are you?”—but it literally translates to: How is your heart doing? AI can’t ask that. At least not yet. And even when it can, it won’t mean it.

Everything’s Amazing. Nobody’s Happy.

Over the past year, we’ve seen an explosion in AI capabilities. From Claude and DeepSeek to custom GPTs, agents, copilots, and beyond—we’ve unlocked tools that can write like us, talk like us, and think faster than us. And yet amid all this brilliance, morale is shaky. Anxiety is rising. Relationships at work feel more fragile. Loneliness is still trending. 

Somehow, despite everything being amazing…nobody seems to be fully happy. And that’s because the problem isn’t just about what’s being built. It’s about what’s being missed.

Become a Master of Attunement

Stephen Covey once said:

“The biggest communication problem is that we do not listen to understand. We listen to reply.”

These days, we don’t even reply—we prompt. We’ve become so good at asking AI the right questions, we’ve forgotten how to ask each other the real ones.

So here’s an idea: Let AI be your productivity engine. Your logic brain. Your pattern-detecting genius. But let you be the soul. The resonator. The attuner. The etymology of attunement is “to bring into harmony.” It’s not about fixing people—it’s about feeling with them.

Become a Master of Attunement

In leadership, this means mastering what I call the Listening Ladder:

Emotion

Response Style

Example

Pity

Recognize

“That’s awful. At least it’s almost Friday.”

Sympathy

Care

“I’m sorry to hear that. That sounds tough.”

Empathy

Feel

“I hear you—it sounds like this workload is really taking a toll.”

Compassion

Act

“Let’s find a way to ease your load together.”

Attunement isn’t passive. It’s an active presence. It’s emotionally intelligent alignment. It’s not just knowing what someone is going through—it’s standing with them in it, and saying: I’m here.

But Isn’t AI Getting Good at This?

Sure, AI can detect emotional cues through text or tone. It can simulate concern. It can even give decent advice. But there’s a line it can’t cross: It doesn’t feel.

AI won’t sit in silence with a teammate who just got a life-changing diagnosis. It doesn’t notice how someone’s voice slightly trembles when they mumble “I’m fine.” Machines can’t experience shame, grief, awe, or love.

And it can’t ask, from the heart: How is your heart doing?

So yes, AI may one day outpace us in logic, language, and even innovation. But the sacred skill of soul-to-soul listening—that remains deeply, beautifully human.

The Future of Leadership

Ray Kurzweil prophesied that the 21st century won’t bring 100 years of progress—it will bring the equivalent of 20,000.

But no matter how far we go, one truth stays constant: People don’t quit companies. They quit leaders who don’t listen.

As the future of work accelerates, the leaders who thrive won’t be the ones who outpace AI. They’ll be the ones who partner with AI—and lead like humans.

Consider this your invitation to become irreplaceable. Learn to attune. Ask real questions. Listen with your whole body. Respond with presence. And the next time someone on your team seems off, don’t just check their output.

Check their heart.

Hamza Khan

Hamza Khan

Keynote Speaker

Hamza Khan is a best-selling author, award-winning entrepreneur, and globally-renowned keynote speaker whose TEDx talk “Stop Managing, Start Leading” has been viewed over two million times.

The world’s leading organizations trust him to enhance modern leadership, inspire purposeful productivity, nurture lasting resilience, and navigate constant change.

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by Florian Biedermann | Mar 25, 2025 | Leadership and AI, Leadership in the digital transformation, MDI Inside | 0 comments

MDI’s Leadership Lab: Unlocking the Future of Leadership Training

Would you like to listen to this article? 

Click here to access our AI-generated audio version! Have fun listening 😉

MDI’s Leadership Lab: Unlocking the Future of Leadership Training

The world of learning and development (L&D) is evolving with the advancements in artificial intelligence (AI), offering new possibilities alongside established training methods. Traditional formats—classroom sessions, workshops, and coaching—remain essential for leadership development, providing deep insights and impactful learning experiences.

AI complements these approaches by enhancing personalization, enabling real-time feedback, and increasing scalability, making leadership development even more effective and accessible. AI is changing all of that by combining data analysis, machine learning, and natural language processing. Here are some inspiring ways AI is shaping the future of leadership learning and development— developed by MDI’s (Management Development International) AI Leadership Lab.

Roleplays and simulated scenarios: practicing leadership in a safe space

The MDI AI Leadership Lab enables the creation of realistic leadership simulations. These are not static case studies, but dynamic, adaptive scenarios where AI responds to a leader’s decisions in real time.

Imagine a virtual simulation where a leader faces underperformance and team tension with a new employee, a salary negotiation, or a feedback talk with a team member who frequently dominates team discussions. The MDI AI Leadership Lab provides you with a virtual roleplay with a team member that can be played via chat or a voice interface. These roleplays can introduce unexpected twists—like exaggerated demands of an employee or a challenging stakeholder response—to test how the leader adapts under pressure.

These roleplay simulations allow leaders to practice decision-making, conflict resolution, communication skills, and further challenges in a risk-free environment. They build confidence and competence by providing immersive, hands-on learning experiences.

Roleplays and simulated scenarios: practicing leadership in a safe space

Real-Time, AI-Powered Feedback

Leadership development has traditionally relied on periodic evaluations—often at the end of a program or after performance reviews. With the MDI AI Leadership Lab, each leader can receive honest, constructive feedback that is impossible to manipulate at any time.

This AI-powered tool can analyze leaders’ communication styles, decision-making patterns, and even their tone of voice during meetings. Using natural language processing, these tools provide real-time feedback on clarity, emotional tone, and collaboration tendencies. Such as the „Communication for Leaders“-roleplay that encourages you to practice the BID (Behavior, Impact, Development) model to provide constructive feedback that motivates and guides improvement.

Here, a leader might receive instant suggestions to adjust their communication style to foster better team engagement or tips on handling conflict with greater empathy. This immediate feedback allows leaders to course-correct at the moment rather than waiting weeks or months for formal evaluations.

AI as a Virtual Coach: Support on Demand

For decades, MDI has been providing coaching support next to leadership training. However, not every leader has access to a personal mentor or coach. Furthermore, it often takes some time for the coach and coachee to find a suitable time slot to start the coaching. With the MDI AI Leadership, everyone can have a virtual coach in their pocket or on their desktop – at any time. This AI-driven coach provides just-in-time advice, from managing difficult conversations to preparing for performance reviews and many other topics.

These virtual coaches can analyze real-time data, monitor progress, and offer personalized suggestions for improvement. They ask thought-provoking questions, provide empathetic guidance, help to identify patterns, and support you in solution finding.

This 24/7 support ensures leaders get the guidance they need, exactly when they need it. You can communicate with MDI AI virtual coach via voice interface or, if the room situation makes it inappropriate to talk to the coach, you might use its chat interface.

    AI as a Virtual Coach: Support on Demand

    Ask me anything – the MDI AI Leadership Knowledge bots.

    Imagine you have very specific questions about your leadership role, but no one is competent to ask. Wouldn’t it be fantastic to have a knowledge partner who is available anytime you need him?

    This kind of genie in a bottle is the MDI AI Leadership knowledge bot. Organized by topics such as lateral leadership, negotiation skills for executives, conflict management, resilience, self-leadership or inclusive leadership, and many more, these knowledge bots always deliver helpful information when required. These AI Leadership knowledge bots were trained with exclusive training materials dealing with topics that have been successfully trained for years, as well as MDI publications, and thus have extensive knowledge in the respective subject areas.

    A Smarter Way to Learn

    This enhanced capability allows AI agents to deliver more sophisticated and context-aware support, greatly improving the customer experience – in various languages. In times when informal learning and micro-learning are becoming increasingly important, chatbots are extremely attractive learning companions.

    After all, 90% of our learning takes place informally – not in the traditional seminar room – but in an exchange with each other or on the job! But what if you can’t learn in a group or if you don’t have a highly competent colleague at your side, the learning bots are the perfect solution here: rarely out of order for repairs, available to learners around the clock, and a great learning partner when learning and seeking for information.

    Conclusion: AI is a partner in leadership growth

    AI is not a replacement for human leadership, but it is a powerful partner in developing it. When used thoughtfully, AI can make leadership development more personalized, data-driven, and impactful.

    The future belongs to organizations that embrace this partnership—combining cutting-edge technology with timeless human wisdom to develop leaders who are not only competent but compassionate, self-aware, and ready to lead in an ever-changing world.

    So, the question is: Are you ready to harness AI’s potential to grow the next generation of leaders? If so, feel free to test the MDI AI Leadership Lab.

    Florian Biedermann

    Florian Biedermann

    Learning & Development Consultant at MDI

    Florian Biedermann is a Learning & Development Consultant at MDI (Management Development Institute) – a global consulting company that offers solutions for leadership development. His focus is on making complex issues understandable and inspiring people to think – and act. Florian previously worked for many years as an author and manager in the e-learning sector, after spending over a decade as a freelance journalist.

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    by Gunther Fürstberger | Feb 12, 2025 | Digital Transformation, Leadership and AI, Leadership Tips | 0 comments

    AI transformation: how companies and leaders need to adapt

    Economic history repeatedly shows how technological leaps revolutionize entire industries. 150 years ago, sailing ships dominated world trade, while steamships were only used on lakes and rivers. But within 30 years, the ratio was reversed: steamships took over the market, while sailing ships lost their importance.

    Interestingly, it was not the established companies with capital that drove this change, but new companies that took advantage of the new technology. This is a pattern that keeps repeating itself – just as Blockbuster was replaced by Netflix or the traditional automotive industry is facing the challenge of electric mobility.

    What does this mean for our time?

    Digitization and, in particular, artificial intelligence (AI) are today’s disruptive technologies. Companies are faced with a choice: do they want to be among the pioneers or do they want to wait and see? The question of what our job description will look like in five to ten years is not a hypothetical one.

    Stability or change? The influence on digital transformation

    Some people tend to seek stability, to preserve security and proven values. Others, on the other hand, are change-seekers, curious and willing to explore new technologies. However, digital transformation requires companies to actively engage with change.

    Europe tends to regulate rather than innovate. However, AI applications are becoming increasingly important, and it is crucial not only to consider the risks but also to seize the opportunities. Responsible participation is essential to avoid being controlled from the outside.

    AI and its impact on companies

    AI and its impact on companies

    AI is changing many aspects of the economy:

    • Business opportunities and risks: Those who do not adapt could soon become irrelevant. Established processes can become ineffective while new technologies are faster, more efficient and more cost-effective.
    • Efficiency and productivity: Automated processes improve workflows, reduce errors and increase the speed of decision-making.
    • The world of work: Some jobs will disappear, while new ones will be created. The challenge lies in preparing employees for the new world of work.
    • Learning and development: AI makes it easier to create and personalize learning content, enabling better education and development processes in the long term.
    • Customer focus: AI can help create personalized customer experiences and better understand needs.

    The role of leaders

    Leaders face the challenge of creating transparency. They must educate about the potential, limitations, and deployment scenarios of AI, but they must also promote acceptance and reduce fears. A successful transformation does not proceed linearly, but rather in so-called transformation loops:

     

    1. Why? Why are we doing this?
    2. Planning: What steps are necessary?
    3. Implementation: How do we implement it?
    4. Evaluation: What works well, what doesn’t?

    Methods for successful AI integration

    • Target group: Clarifies for whom and for what purpose AI is used. This involves defining what results are to be achieved and how success will be measured.
    • AI roadmap & AI transformation map: Structured implementation planning helps to formulate corporate goals clearly and in a solution-oriented manner.
    • Commitment game board: Maximizes employee participation by actively involving various stakeholders in the process.
    • ADKAR model: Helps with individual change by raising awareness, motivation, knowledge transfer, application and reinforcement. The following questions could be asked: Why do we have to change? What’s in it for me? What new skills do I need? How can I apply what I have learned? How do I maintain the change?
    Learning from practice: AI at MDI

    Learning from practice: AI at MDI

    At MDI, we have set up an AI task force that works according to the principle “do, reflect, learn, do”. Early involvement and continuous reflection ensure that insights can be implemented quickly. In addition, we are constantly developing our AI Leadership Lab, which revolutionizes learning processes through AI-supported role playing, knowledge bots and leadership coaching.

    Sustainable integration into everyday business

    Regular reviews and retrospectives are crucial to the long-term success of AI in everyday business. Companies should ask themselves:

    • What are the intermediate results?
    • What are the successes?
    • What went well?
    • Where is there room for improvement?

    Implementing AI requires not only technical know-how but also communication skills. Building trust is essential because the longer internal communication is neglected, the greater the resistance to transformation.

    Leaders of the future

    To successfully deal with AI, leaders need five core competencies:

    1. Recognizing the potential of AI
    2. Enthusiasm for lifelong learning with AI
    3. Mastering agile transformation management
    4. Ensuring ethical communication
    5. Promoting responsible thinking

    The AI revolution is in full swing – companies and executives must position themselves now to remain successful in the long term.

    Want to learn more about this topic? Watch the new (German) webinar here “Mastering AI Integration: Your Roadmap for Leadership Success and Sustainable Transformation” by Gunther Fürstberger. Dive into the world of AI leadership!

    Gunther Fürstberger

    Gunther Fürstberger

    CEO | MDI Management Development International

    Gunther Fürstberger is a management trainer, author and CEO of Metaforum and MDI – a global consulting company providing solutions for leadership development. His main interest is to make the world a better place through excellent leadership. He has worked for clients including ABB, Abbvie, Boehringer Ingelheim, DHL, Hornbach, PWC and Swarovski. His core competence is leadership in digital transformation. He gained his own leadership experience as HR Manager of McDonald’s Central Europe/Central Asia.  At the age of 20 he already started working as a trainer.

    • LinkedIn

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    by ARS Academy, MDI | Feb 5, 2025 | Best Practice, Leadership and AI, Leadership Tips | 0 comments

    No Success without Diversity: Why it Matters

    Do you prefer to listen to this article? Click below to access our AI-generated audio version!

    No Success without Diversity: Why it Matters

    The world of work is facing major challenges – from economic uncertainty and the shortage of skilled workers to technological change. However, one of the greatest opportunities for companies is the conscious promotion of diversity and inclusion.

    In our latest study with the ARS Akademie, we examine, among other things, diversity in companies and show the potential offered by a diverse work environment. Read this blog post and learn more about our exciting findings!

    Why diversity is more than just a buzzword

    Diversity in the company means more than just a mix of different backgrounds and perspectives. It is about a conscious strategy that offers all employees equal opportunities and specifically promotes their strengths.

    According to the survey, 63% of companies have already introduced flexible working hours to enable better integration. In addition, 51% of companies encourage collaboration between departments to learn from each other and work better together.

    External studies also confirm the positive influence of diversity: the current McKinsey study, Diversity Matters Even More (2023), shows that companies with a high level of diversity are 39% more likely to be financially more successful than less diverse companies. This finding shows us that diversity is not only an ethical concern but also offers a clear economic advantage.

    Diversity in recruiting: promoting talent in a targeted way

    Another important topic in the area of diversity is recruiting: 38% of the companies surveyed have actively integrated diversity into their recruiting strategies to appeal to a broader range of talent and to attract the best talent regardless of origin, gender, or other factors.

    In addition, 31% of companies have anchored diversity management as an integral part of their corporate strategy. Nevertheless, there is still considerable room for improvement: only 30% of companies offer targeted training programs for leaders to actively promote diversity and involve them in decision-making processes.

    There are significant deficits at the management level in particular. A study by Deloitte from 2024 shows that the proportion of diverse leaders in Austria remains low. The study highlights that a lack of diversity in management positions can impair the innovative strength and competitiveness of companies in the long term.

    Diversity in recruiting: promoting talent in a targeted way

    The impact of diversity on business success

    Diverse teams are not only more creative, they are also more productive. According to studies, companies that consciously promote diversity can expect up to 36% higher innovative strength. This is because diverse teams bring different perspectives to the table and thus find better solutions to complex problems.

    In addition, an open and inclusive corporate culture leads to higher employee satisfaction, which in turn has a positive impact on productivity and employee retention.

    The survey results confirm this trend: companies with clearly defined diversity measures report higher motivation and engagement among their teams. At the same time, more and more companies recognize that diversity is not only an ethical but also an economic advantage.

    Diverse teams are better able to respond to market changes and drive innovation, which can be crucial in times of rapid technological change.

    Challenges in implementation

    Despite the recognized advantages, there are still hurdles to implementing diversity strategies. The management survey shows that 15.8% of companies have not yet taken any measures to promote diversity and inclusion. Implementation often fails due to a lack of awareness or a lack of strategic anchoring in corporate goals.

    Another obstacle is unconscious bias, which often unconsciously influences recruitment and promotion decisions. To counteract this, companies should increasingly focus on training and awareness-raising measures. However, there is still room for improvement here: only 30% of companies currently offer targeted training for leaders to live and benefit from diversity.

    Conclusion: from intention to implementation

    While many companies recognize the importance of diversity, implementation often falls short of expectations. Leaders are called upon to take active measures to promote an inclusive corporate culture. This includes not only training for leaders, but also clear diversity goals, targeted recruitment measures, and embedding diversity in the corporate strategy.

    Companies that manage to establish diversity not just as a concept, but as a fixed component of their success model, will benefit in the long term from greater innovative strength, better employee retention, and increased productivity.

    Now is the time to see diversity not just as a theoretical ideal, but to use it as a strategic success factor for the future!

    MDI Management International

    MDI Management International

    MDI is a global leader in leadership development with 60 years of experience. With offices worldwide and a network of over 250 international consultants and trainers, MDI offers training and consulting services in various languages. The company designs and implements customized programs for leaders at all levels, high potentials, experts, project managers, and salespeople – locally, internationally, and globally.
    ARS Academy

    ARS Academy

    The ARS Academy is Austria’s largest private provider of professional seminars and is represented in all federal states. Around 1,000 selected top experts from business, practice and law pass on their knowledge in around 1,200 different events to around 18,500 participants per year.

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    Efficiency with AI in Leadership Development

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    Efficiency with AI in Leadership Development

    Perhaps the first AI hype is already over, but it paves the way for a more realistic view. AI transformation is progressing at different speeds in different industries.

    However, the training industry is among the pioneers: machine learning has enormous potential to make human learning more efficient, effective, and cost-effective. Since 2023, we have been experimenting intensively with artificial intelligence as a provider of leadership development and are happy to share our experiences.

    AI in everyday business: a fixed routine in meetings

    For a year and a half, AI has had a permanent place in every company management meeting. At least one current topic is supplemented by an LLM (Large Language Model) with a perspective or recommendation.

    This practice has proven itself and enables more informed decisions with minimal time investment. Experiments with automatic logging, on the other hand, have proven less successful.

    In August 2023, we launched AICO (Artificial Intelligence Co-Trainer), which has since been supporting us with energy exercises, music selection, transfer tasks, and as a knowledge source for participant questions in the seminar. Shortly after that, we tested the first ChatGPT role-playing game in a seminar and were impressed by the positive participant feedback. Initially, we provided the prompts as a transfer task.

    AI transformation roadmap: planning at the company level

    In January 2024, we launched a company-wide AI transformation roadmap. This means that we plan how AI can be used in key areas of the company every quarter to ensure that the entire organization is involved in this development.

    In our OKR (Objectives and Key Results) planning meeting for the second quarter, we determined that no offer would be sent to customers without an AI component that covers at least 10% of the learning journey. Customers will still have the option to book the AI components that were previously free of charge.

    AI transformation roadmap: planning at the company level

    AI Lab: A role-playing center for real-world scenarios

    In the third quarter, we plan to set up an AI lab on our website where all applications can be tested and used in a bundled form. This lab includes a role-playing center for various leadership communication situations. Participants take on the role of the leader, while the AI takes on the role of the employees.

    A keyboard is no longer necessary – the role play is done by speaking and listening. After completion, the leaders receive targeted feedback that refers to the learned communication models. The role play can be repeated as often as desired, not only in the seminar but also when the situation arises in real life.

    The future of learning: from 2D avatars to “superpowers”

    Just as e-learning has replaced knowledge transfer in training over the last 20 years, AI has the potential to revolutionize skills development today. Currently, role-playing on the phone is still purely auditory, but soon visual avatars will be integrated as role-playing partners.

    AI applications with 3D avatars for virtual reality glasses already exist. However, we suspect that 2D avatars will initially be used as learning partners because they are easier to use. These avatars are already supported by so-called “superpowers”. For example, Hume.ai gives AI coaches empathy and enables feedback on the current emotional state of the role-playing participant using voice analysis.

    Real avatars as knowledge messengers and the next step in learning transfer

    We are experimenting with “real avatars” of trainers who are available to participants as knowledge messengers after the seminar. This new type of learning transfer support enables agile learning when needed. Despite all efforts, learning transfer has often been a neglected topic in the industry.

    Our leadership agent project (“LAgent”) is proving more challenging: we are developing an AI agent that can proactively pursue short-and long-term goals together with the leader. However, the LLMs currently available are still limited in their memory function, which would be necessary for responsible co-leadership. But this is precisely where development is progressing rapidly, and it is becoming increasingly easier to develop AI agents.

    Conclusion: AI transformation in learning and development

    Overall, the AI transformation in the area of learning and development is a fascinating field and is contributing significantly to the development of organizations and, by extension, society.

    Mag. Gunther Fürstberger

    Mag. Gunther Fürstberger

    CEO | MDI Management Development International

    Gunther Fürstberger is a management trainer, author and CEO of Metaforum and MDI – a global consulting company providing solutions for leadership development. His main interest is to make the world a better place through excellent leadership. He has worked for clients including ABB, Abbvie, Boehringer Ingelheim, DHL, Hornbach, PWC and Swarovski. His core competence is leadership in digital transformation. He gained his own leadership experience as HR Manager of McDonald’s Central Europe/Central Asia.  At the age of 20 he already started working as a trainer.

    • LinkedIn

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    Step by Step to Success with AI-supported Solutions

    Do you prefer to listen to this article? Click below to access our AI-generated audio version!

    Step by Step to Success with AI-supported Solutions

    A successful AI transformation in human resources development does not happen overnight. It is a process that requires a strategic approach and an agile implementation. How do you get employees on board? Combining both poles.

    Sound familiar? Employees and colleagues approach you and tell you about the latest AI apps they are trying out. Many of them mention, some do not, that they do not even know whether they are allowed to use AI tools in the company. Your company may be working on a policy right now. There may not yet be a company-wide regulation or it may not yet be known. Don’t worry, you’re not alone in this attitude; 80% of companies are also waiting.

    The importance of AI integration for employee motivation and competitive advantage

    This could be fatal, on the one hand, because the initial motivation of employees, which is so often desired from the point of view of personnel development and leadership, could be curbed as a result. On the other hand, it could put them at a competitive disadvantage. A possible first-mover advantage shrinks with every day that passes without working on optimization using AI.

    In addition to the motivation, some have no interest in the topic of AI and think they can “sit it out” or are unable to exert any influence anyway. So how can we get everyone on board? After all, as we know, we move faster when we’re all rowing in the same direction.

    AI Readiness Check: assess the starting position.

    Before companies embark on the AI transformation of their HR development, it makes sense to assess their current AI readiness. An AI readiness check helps to evaluate the initial situation and discuss it together. This AI readiness check provides, for example, results in the categories of strategic orientation, know-how, culture, resources, and data after a 10-minute self-assessment.

    With a common starting point, it is easier to identify opportunities for integrating AI into the L&D strategy. Such a readiness check can be used in any area of the company.

    AI Transformation (1000 x 600 mm)

    Agile approach – AI Autonomy Day

    Organize an AI Autonomy Day: Provide everyone with a day a year to work on any topic in the field of AI. Provide as little guidance as possible. Also, provide a small budget for any licenses. It is important to note that, by the GDPR, no personal or company data should be transferred to unprotected LLMs.

    Trying it out can happen individually, in a team, across departments/hierarchies/teams. Provide a communication platform and make it transparent which topics are being worked on. Set a date for presenting the results. Invite relevant stakeholders and decide together what will be done with the results. Repeat the process every six months or even every quarter.

    To take it to a strategic level, we recommend setting up an AI transformation roadmap. This roadmap will track the progress and plans for each area. You can decide whether to share the roadmap with everyone individually or by team/area. The results and the maturity level of the project should be recorded by the company management.

    This tool offers you the following advantages:

    • Clear vision and strategic direction
    • Improved communication and alignment with stakeholders
    • Controlled resource and time management
    • Risk reduction and adaptability
    • Focused innovation and development of use cases
    • Structured approach – a clear process gets the ball rolling

    To find out what leverage AI can have in your company, you need to have a basic knowledge of AI and the (technical) possibilities of AI (weak AI vs reactive AI vs AI with limited storage capacity) . On the other hand, you need to know your processes very well. Those who already have a detailed process map have a clear advantage here.

    As a first step, evaluate the AI potential based on your processes and divide your processes into three process types. Then evaluate the savings potential of the activity to determine your starting point with the greatest potential.

    

    Weak AI vs. Reactive AI vs. AI With Limited Storage Capacity

    Weak AI: performs tasks, does not learn new skills (voice assistants, generative AI: image generation, text generation, research & diagnosis)

    Reactive AI: does not build up memory, reacts to stimuli (spam filters, recommendation systems based on historical data such as Netflix, Amazon)

    AI with limited storage capacity: stores knowledge, learns from it and makes forecasts (weather, finance, self-driving cars, chatbots)

    (Source: https://ki-campus.org/videos/ki-in-unserem-alltag?locale=de)

    Further training & communication

    To use the topic of AI profitably and responsibly for everyone in personal development, in the team, and the company, you cannot avoid acquiring a basic knowledge of AI yourself and motivating others to do the same.

    Join communities, exchange ideas with peers, and take small steps. But take them consistently and lead by example. Support your colleagues and managers with training, workshops, exchanges, and networking opportunities. Create personalized wikis and AI assistants (e.g. using GPT Builder) to make knowledge more accessible.

     

    Marina Begic

    Marina Begic

    Head of Business Development – Digital Transformation Driver

    Marina has been working on new, effective learning methods and the future of corporate learning for over 15 years. In her current role, she is responsible for Digital Business Development at MDI, where her focus is not driven by the current buzzwords, but primarily on the feasibility of digital transformation for clients such as Erste Group, Lenzing, Semperit, Deutsche Bahn, Andritz AG, Uniqa, Mayr-Melnhof, Frequentis, RHIM. Her greatest strength is bringing loose ends together, which she impressively demonstrates time and time again with her big picture view and multi-dimensional approach. Her greatest passion is to provide learners not only with an experience, but also with real, lasting value for their real challenges.

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    Navigating the Ethical Challenges of Algorithmic Decision-Making

    by Raphaela Pouzar | Aug 27, 2024 | Leadership and AI, Leadership in the digital transformation, Short Knowledge Bits | 0 comments

     

    Navigating the Ethical Challenges of Algorithmic Decision-Making

    You prefer to listen to this article? Click here to access our AI-generated audio version:

    Navigating the Ethical Challenges of Algorithmic Decision-Making

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    https://blog.mdi-training.com/wp-content/uploads/2024/08/Navigating-the-Ethical-Challenges-of-Algorithmic-Decision-Making1.mp3

    Navigating the Ethical Challenges of Algorithmic Decision-Making

    Artificial Intelligence (AI) is transforming our world, from personalized recommendations to advanced medical diagnostics. However, as AI becomes more integrated into our lives, a critical issue has emerged: algorithmic bias. This bias occurs when AI systems are trained on flawed or incomplete data that lacks diversity, leading to unfair or discriminatory outcomes and often perpetuating existing inequalities.

    What is AI Bias?

    AI bias arises when algorithms reflect and amplify societal prejudices embedded in their training data. For example, suppose an AI system is trained predominantly on data from one demographic group. In that case, it may perform poorly for others, leading to unfair decisions in areas like hiring, healthcare, and law enforcement.

    The Dual Nature of AI

    AI offers immense benefits, but these are accompanied by significant risks. In healthcare, for instance, AI can assist in diagnosing diseases, but if the training data lacks diversity, the AI may misdiagnose conditions in underrepresented groups, exacerbating health disparities.

    Global Implications: Data Colonialism

    AI bias isn’t just a local issue—it has global ramifications. In many cases, data from the Global South is used to train AI systems that benefit the Global North, a practice known as data colonialism. This exploitation deepens global inequalities, as those in the Global South often do not share in the benefits of AI technologies.

     

    Global Implications: Data Colonialism

    Addressing AI Bias

    To mitigate AI bias, it is essential to adopt a responsible approach to AI development. This involves recognizing the duality of AI—its potential for both benefit and harm—and taking proactive steps to minimize risks. Here are some key strategies:

    1. Diverse and Representative Data: Ensuring that AI systems are trained on diverse and representative datasets is crucial. This includes data from different demographic groups, geographic regions, and socio-economic backgrounds to minimize bias.
    2. Transparency and Accountability: AI systems should be transparent, with clear explanations of how decisions are made. Additionally, there should be mechanisms for accountability, allowing users to challenge and understand decisions that negatively impact them.
    3. Ethics by Design: Integrating ethical considerations into the design and development of AI systems is vital. This includes ongoing assessments of how AI systems impact different groups and the potential risks involved.
    4. Global Collaboration: Addressing AI bias requires global collaboration, with input from diverse stakeholders, including those from marginalized communities. Policymakers, industry leaders, and civil society must work together to create regulations and standards that ensure AI development is fair and inclusive.

    Conclusion: A Path Forward

    As we move forward into an increasingly AI-driven world, it is crucial to remain vigilant about the biases embedded in these technologies. Only by acknowledging and addressing these issues can companies ensure that AI serves as a tool for positive change, rather than perpetuating existing inequalities.

    Murikah, W., Nthenge, J. K., & Musyoka, F. M. (2024). Bias and ethics of AI systems applied in auditing – A systematic review. Scientific African, 16, e02281. https://doi.org/10.1016/j.sciaf.2024.e02281

    Ukanwa, K. (2024). Algorithmic bias: Social science research integration through the 3-D Dependable AI Framework. Current Opinion in Psychology, 58, 101836. https://doi.org/10.1016/j.copsyc.2024.101836

    Caro-Burnett, J., & Kaneko, S. (2022). Is society ready for AI ethical decision-making? Lessons from a study on autonomous cars. Journal of Behavioral and Experimental Economics, 98, 101881. https://doi.org/10.1016/j.socec.2022.101881

    Arora, A., Barrett, M., Lee, E., Oborn, E., & Prince, K. (2023). Risk and the future of AI: Algorithmic bias, data colonialism, and marginalization. Information and Organization, 33(3), 100478. https://doi.org/10.1016/j.infoandorg.2023.100478

    Raphaela Pouzar

    Raphaela Pouzar

    Marketing Team Assistant

    Raphaela Pouzar, a Bachelor of Business Administration student at IMC Krems, works at MDI as a marketing assistant alongside her studies. Additionally, she is currently pursuing an AI certificate from Harvard Business School.

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