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Efficiency with AI in Leadership Development

Efficiency with AI in Leadership Development

by Gunther Fürstberger | Oct 31, 2024 | Best Practice, Leadership and AI, MDI Inside | 0 comments

Efficiency with AI in Leadership Development

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

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.

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Challenges and Opportunities of AI in China

Challenges and Opportunities of AI in China

by Gunther Fürstberger | Jun 10, 2024 | Leadership and AI, MDI Inside, training new leader | 0 comments

Challenges and Opportunities in China

Do you prefer to listen to this article? Click here to listen to the AI-generated version!

Challenges and Opportunities of AI in China

While some see China’s intensive video surveillance as a realization of George Orwell’s bleak vision of the future in “1984”, others argue that China is a safer place as crimes are quickly detected due to these measures.

I, too, am concerned with the question of the benefits and harms of the use of artificial intelligence in public administration in China. In this blog post, I report on my experiences and observations on my recent trip to China.

Travel preparations with hurdles

I reactivated my WeChat account to prepare for my trip. This turned out to be more complicated than I had expected. Only after repeated attempts and several hours of effort did I manage to reactivate my WeChat account with the help of a WeChat friend from Taiwan.

This automatically sets up the WeChat payment service Weixin Pay. I could link it to my Mastercard after scanning my passport and approving a photo using my cell phone camera. I thought to myself: now the public authorities can track my payment activities if they are interested.

My experience with digital payment systems in China

However, WeChat payment did not work in China and the alternative Alipay also failed to verify my credit cards. However, I did meet Germans who had success with Alipay. My attempts to communicate with my credit card processors didn’t change anything.

To my relief, I realized that cash is usually accepted after all and that I could pay online for the high-speed train from Beijing to Shanghai with a foreign credit card. But the locals pay for everything with their phones.

Political moods in China

In personal interactions, my Chinese conversation partners also proved to be critical of the government. As long as people are talking and not typing virtually, they are relaxed. I mainly encountered a pragmatic attitude.
From a transactional analysis perspective, they are treated like children by the authorities.

However, they did not care much as long as they feel safe and can pursue their economic activities. My current view on this: The trend towards personal surveillance will continue despite attempts at regulation, and not just in China. More cameras are being used every year:

 

  • Many installed cameras by public administrations, businesses, and homeowners.
  • In addition, billions of cell phone cameras and big data analysis possibilities worldwide can monitor a large part of our lives.

The power of surveillance: AI, resistance and political stability

Whether in democracies, autocracies, or hybrid systems – those in political power have instruments in their hands that they can use to either benevolently or to maintain power. It is usually a combination. What seems most problematic to me is that potential resistance can be nipped in the bud. The more benevolent a system of rule is, the less resistance there will be.

Using AI, an autocratic government can protect itself almost to the point of unassailability. However, history has proven that a lot of power corrupts. The greater the differences in power and income, the stronger the resistance.

AI in different leadership systems

Even the most powerful autocrats are getting older and younger people are taking over their positions. These changes are often accompanied by power struggles and thus at least temporary destabilization. AI is a new and significant aspect of the leadership system, but not the only relevant one. Other aspects are e.g:

  • Collective benefit maximization and suffering minimization for all relevant stakeholders including minorities. If an authoritarian or democratic regime achieves sustainably good results in this respect, it has a better chance of remaining in office.
  • Intelligence and education of leaders and those being led
  • Beliefs of leaders and those being led (e.g. “only the collective counts” or “it’s safer with us”)
  • The legal and executive system
  • Incentive systems and social stratification

I also wanted to use my trip to China to further develop my views on the following 2 questions in particular:

1. Is democracy always the best form of government?

I remain a supporter of democracy, while at the same time maintaining the view that sometimes intelligent, benevolent autocrats can achieve better results than bad democratically legitimized governments. Over the past three decades, China has achieved amazing results in terms of prosperity, innovation, and security, for example.

My youthful conviction that democratic systems are economically superior to autocratic ones has long been called into question by China’s one-party system. On average, however, intelligent and benevolent parties come into government more often in democracies. Above all, problematic undesirable developments can be prevented more easily and quickly.

2. What are the benefits and harms of the new surveillance possibilities offered by AI?

It is strange for me to see cameras even on forest paths in the Wudang Mountains. At the same time, I have rarely felt as safe at night in cities with millions of inhabitants as I do in China. In addition to security, efficiency is also a strong argument in favor of biometric recognition methods.

I have been used to the idea for years that we are heading towards a transparent world. We are already ensuring that with our smartphones, Apple watches, etc. If we live in a society in which individual freedom and uniqueness are accepted within the harmful limits of others, transparency has little to threaten me.

But that brings us back to question 1: if my data is being used by government agencies to maintain power or execute ideological -isms, then it may already be too late.

Regulation with a sense of proportion

Unfortunately, we know that even liberal democracies can become dictatorships. In recent years, in particular, there have been ominous developments in various Western countries where attempts have been made to weaken democracies through violence or manipulation.

And we have also seen how quickly countries have become involved in wars. I therefore believe that regulation with a sense of proportion is necessary, especially when it comes to the use and storage of collected data.

A summary of my learning journey

For me, this learning journey was not about judging in the sense of right and wrong, but about interpreting developments in the context of history, culture, population density, religion, etc. I took one final inspiration from a leadership outcome that with me: China shows that switching to e-mobility and attractive public transportation is possible. Why are we going the other way again with combustion engines?

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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AI in Leadership – the Ethical Dimension

AI in Leadership – the Ethical Dimension

by Alina Helmlinger | Jan 29, 2024 | Impuls series, Leadership and AI, Leadership Tips | 0 comments

AI in Leadership – The Ethical Dimension

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

This blog post is a continuation of an interview ” AI-Enhanced Leadership: Maximizing Potential with Intelligent Tools. Click here to read the first part.

The topic of AI is also very much about ethics. I would be particularly interested in this: What ethical considerations should leaders consider when dealing with AI?

AI can process vast amounts of data both now and in the future. This means, for example, that I can easily develop an algorithm with AI to monitor employees even better, work out certain behavioral patterns, and much more.

In other words, I can use AI to make something completely transparent that a human would never have been able to do. In theory, I could develop an AI that uses workflows to tell me exactly which employees are productive and when or who is working at their weakest.

I could also use an AI to monitor the entire company. Of course, this poses a major ethical problem – do you use artificial intelligence to monitor or facilitate work processes? These are two poles that AI could cover.

The question is, what do you want?

In your opinion, how can AI help to create personalized learning experiences for leaders and thus promote their individual development?

With AI, for example, I could create a training program for a leader where they can study at any time. The program explains content at all levels – very simple, highly complex, in a different language or format.

Soon it will also be possible to write with AI via WhatsApp, for example, to better understand the content. But this would also be possible in completely different formats – for example, I could talk to the AI or watch an AI-generated video.

In general, AI could cover everything for me. For example, I could tell it that I want to work on a language model and AI would explain to me what I need and also generate a mind map for me. This AI program would be user-friendly. That means I could use it when and where I want and at the level I need. The AI would also give me constant feedback on my learning progress and tell me where there is room for improvement.

Soon AI will be able to respond to my every wish.

AI learning modules for leaders

I hear a lot about individualization and the promotion of time- and location-independent learning, which will simply make everyday life easier – not just for leaders, but for everyone in general.

Exactly, it is independent of time and place, but can also always be tailored to my needs.

That brings me to my next question: how do you see the role of AI in the future training and development of leaders, what are the limits?

When it comes to learning content in training courses, AI will relatively soon replace the role of the trainer, because AI can do this well on an individual level. Perhaps even better than humans because of the large database.

I can simulate social interactions with an AI, but that’s where I see the limits of AI. In other words, whenever it comes to dealing with other people, AI can teach me the basics and the theory – but it can’t do the actual interpersonal aspects, i.e. working with other people.

You can also see it now after Corona, there was a brief online peak, but then people switched back to face-to-face interaction. People realized that they were missing that. This means that human interaction is now more important in a company. Nobody wants to sit in front of a screen and have everything explained to them by an AI.

Cool, thank you very much, Niels. Is there anything else you would like to add or haven’t said yet?

I see education and training as the most important skills of the 21st century – whether as a leader or an employee, everyone will have to keep learning in the 21st century and AI won’t be able to do that for us. If anything, the opposite is true – we have to learn even more than before, but AIs also make learning much easier for us.

In other words, it all evens out somewhere. We have to keep up with developments and keep learning, but this is also getting easier and easier. In other words, in the 21st century, it’s all about continuing to develop and educate ourselves and putting a bit of effort into our brains – even if we no longer have to thanks to AI.

Conclusion

With AI, (almost) anything will soon be possible – from a conversation to a generated leadership development program. Although many roles can be replaced, it is important to strengthen the interpersonal level and focus on soft skills.

You can find Niels’ homepage here!

Alina Helmlinger

Alina Helmlinger

L&D Consultant, MA

Alina has been an L&D Consultant at MDI since 2021 and supports clients from various industries in the tailor-made design of various leadership development programs and training courses. In addition to her practical knowledge and the experience she has already gained in further training, she draws on her sound theoretical knowledge from her Bachelor’s degree in Human Resources Management and her Master’s degree in Organizational and Personnel Development, which she completed in June 2022. Alina keeps calm, especially in challenging situations and leaders to reconcile the interests of different stakeholders in complex projects, thereby designing tailor-made HR solutions geared towards customers’ needs.

  • LinkedIn

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Can AI Support EI Development For Leaders?

Can AI Support EI Development For Leaders?

by Vladimir Novac | Jan 29, 2024 | Impuls series, Leadership and AI, Short Knowledge Bits | 0 comments

Can AI Support EI Development For Leaders?

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

Our MDI trainer and partner Vladimir Novac asked around and collected a few thrilling insights on the connection between artificial and emotional intelligence. Here are 9 ways in which artificial intelligence can support leaders with their development of emotional intelligence. Enjoy reading!

1. Personalized coaching and feedback:

AI-driven platforms can provide personalized coaching to leaders based on their specific strengths and weaknesses in emotional intelligence. Real-time feedback can be generated by analyzing a leader’s communication style, facial expressions, and tone of voice during interactions.

2. Emotion recognition:

AI technologies like natural language processing and facial recognition can analyze leaders’ interactions and identify emotional cues. Feedback can be provided on how well a leader is recognizing and responding to the emotions of others.

3. Virtual reality simulations:

AI-powered VR simulations can create realistic scenarios to help leaders practice and improve their emotional intelligence in various situations. These simulations can mimic challenging workplace scenarios, allowing leaders to navigate emotional interactions in a controlled environment.

4. Chatbots for self-reflection:

AI-powered chatbots can engage leaders in conversations that prompt self-reflection on their emotional responses and decision-making processes. Chatbots can provide insights and resources to help leaders develop a deeper understanding of emotional intelligence concepts.

Are jobs being replaced by AI?

5. Data-driven insights

AI analytics can process large sets of data related to leadership behavior and performance, identifying patterns and correlations. Leaders can receive data-driven insights into their emotional intelligence development progress and areas that may need further attention.

6. Learning platforms with AI recommendations:

AI-driven learning platforms can recommend specific courses, resources, or activities tailored to a leader’s individual needs for developing emotional intelligence. Recommendations can be based on ongoing assessments and feedback.

7. Sentiment analysis in communication:

AI can be applied to analyze written or spoken communication to assess the sentiment and emotional tone. Leaders can receive feedback on how their communication may be perceived and suggestions for improvement.

8. Continuous monitoring and progress tracking:

AI tools can continuously monitor a leader’s interactions, providing ongoing feedback and tracking progress over time. Leaders can receive regular reports on their emotional intelligence development, allowing for adjustments and refinements to their learning strategies.

9. AI-powered coaching platforms:

AI-driven coaching platforms can simulate coaching sessions, providing leaders with practice scenarios and feedback on their emotional intelligence skills. These platforms may incorporate natural language processing to analyze communication patterns and emotional expressions.

As you can see, there are many ways in which AI influences leaders and their emotional intelligence. Join the conversation on Vlad’s LinkedIn to share your thoughts!

Vladimir Novac

Vladimir Novac

MDI Trainer & Partner

Vladimir Novac is based in Bucharest, Romania, and works as top-executive leadership trainer and coach around the globe. He is certified NLP Practicioner and Change Indicator Analyst and especially dedicated to the topics of team development, self leadership, performance management and change. Inspired by a big personal mission, he is enriching the MDI world since many years with knowledge and passion.

  • LinkedIn

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by Alina Helmlinger | Dec 4, 2023 | Impuls series, Leadership and AI, Leadership in the digital transformation | 0 comments

AI-Enhanced Leadership: Maximizing Potential with Intelligent Tools

Let’s also take a closer look at Ai vs. human – Who has more charisma in today’s world? 

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AI-Enhanced Leadership: Maximizing Potential with Intelligent Tools

The integration of artificial intelligence (AI) into the world of work presents new challenges and opportunities for leadership development. As AI revolutionizes the landscape of learning and people development, questions arise about the role of leadership in a technologically advanced environment.

In an exclusive interview with Niels Cimpa, learning coach and AI expert, we explore how AI can be integrated into leadership development and what new skills will become increasingly important in an AI-driven world.

How can artificial intelligence AI be used in leadership development and training?

I believe that artificial intelligence (AI) is playing an increasingly important role in leadership training and development, both in formal educational institutions and in continuing education programs. In my opinion, AI can teach complex models and content better and in more detail than humans because it has access to a huge database.

In a leadership seminar, for example, a human could present the basic content, but individual exercises or questions could be answered more effectively by AI. I also see great potential for AI in self-study, such as online learning. As a leader, for example, I could train with an AI to practice non-violent communication and receive individual feedback and explanations.

Thanks to its extensive database, AI can explain content to me in a wide range of scenarios and variations that go beyond the knowledge of a trainer. I therefore believe that AI can contribute a lot to leadership development, especially in terms of content.

Which skills and competencies do you think will become increasingly important for leaders in a working world shaped by AI?

I think that the role of the leader will change in a working world characterized by AI. As AI can increasingly take on content-related tasks, the focus of leaders in the 21st century is shifting away from pure specialist knowledge towards interpersonal skills.

In the future, it will be more important for leaders to think about how they motivate their team, how they set goals, and how they promote a positive culture of discussion and corporate culture. It’s about taking on a supportive and communicative role that focuses on social skills.

I also see problem-solving skills, particularly in the interpersonal area, as increasingly important. Skills such as coaching, i.e. working with people on specific topics, and guiding them through problem-solving processes are becoming increasingly important.

AI can take on many tasks, but it cannot coach or respond individually to personal problems. I therefore believe that, in addition to social skills, shaping interpersonal relationships is becoming increasingly important for leaders.

 

team meeting

This brings me to my next question: what challenges and opportunities does the integration of AI in leadership development present?

I see mostly opportunities in the integration of AI into leadership development, although there are also challenges. One of the biggest challenges I see is the initial skepticism and the need to find out what is feasible with AI in the company.

Leaders first have to embrace the new possibilities and try out many things. Despite initial rejection, companies that are already working with AI have significantly increased their productivity, particularly in the area of training and leadership development.

The opportunities lie primarily in the fact that leaders can focus more on leadership and developing social skills. This can make the corporate culture more human and approachable and potentially flatten hierarchies to a large extent.

Another challenge for leaders is to hand over certain tasks to AI, as they are used to being in control and being informed about everything. This requires a rethink and allowing AI to be more “competent” in certain areas. The advantage of this is that it frees up resources, both for the leader and for the company as a whole.

As a leader, it is therefore very important to think carefully about what role and tasks AI should take on in the company. It is recommended that AI is used to expand knowledge and facilitate work processes. Data protection is a key aspect of this.

I hear a lot that it is a challenge for the leaders of today and tomorrow to concretize the use of AI and to really hand over competencies and tasks so that this can also be achieved.

Yes, I agree that it is a major challenge for leaders to concretize the use of AI in the company and to effectively hand over certain skills and tasks to AI. It’s about managing this change. I would like to add that there is a lot to define, especially the strengths, weaknesses, and dangers of AI.

It is important to set clear rules about what AI can and cannot do, and what tasks it should and should not take on. Defining these guidelines for the use of AI in the company is crucial, especially in the current phase, which can seem somewhat chaotic.

Yes, and I know this myself from our company, it’s simply a matter of trying, trying, trying, as you mentioned earlier. In other words, really engaging in discourse, testing things together, and concluding yourself and your own company.

What do you think about the assumption that AI can largely affect our business in the sense of “Is it even necessary to send leaders on training courses”?

I think that the personal component in terms of learning is indispensable. The experience of seeing a person on a stage, feeling their energy, and being inspired by them is something that AI cannot replace. So I think AI will take over certain areas of training; for some people, it may even be able to do most of the training work.

However, some people prefer interpersonal contact and need the emotion and energy of a physical presence. So I don’t think AI will make the training business completely obsolete, as human interaction will continue to be important. However, there will be areas and target groups that prefer to learn with AI.

Similar to social media or YouTube, where some people prefer to learn via online courses. But I wouldn’t want to learn everything online, even if it were possible. Sometimes I just want to go to an event for the experience, the education, the networking, and that’s something that AI can’t offer me.

 

generational management

That’s why I think it’s really important to see AI as a complementary tool to the existing training opportunities that we use today.

Exactly, it’s about finding a balance and not competing with AI. In terms of knowledge transfer, I probably can’t compete with AI, as it is superior in this area. However, when it comes to charisma, AI can’t compete with me because it simply doesn’t have these human qualities.

Now I’d like to come to an end and talk about your book “Learning Successfully with ChatGPT”. What can leaders learn from your book for dealing with ChatGPT?

My book “Erfolgreich mit ChatGPT lernen” (Learning successfully with ChatGPT), which is mainly aimed at pupils and students, is about effective learning methods with ChatGPT. The book not only conveys specific factual knowledge but also general learning strategies on how to learn quickly and actively. Although the book is primarily aimed at younger learners, the content is useful for anyone.

The ability to quickly familiarize yourself with and understand a topic is extremely valuable. The book shows how to quickly grasp a topic and talk about it, which is especially important in interpersonal interactions. Learning is and remains an important skill, and my book provides guidance on how to acquire knowledge and learn languages efficiently. It also describes how AI can be used as support, for example as a digital assistant or mentor.

Conclusion

In summary, it can be said that the use of AI in leadership development offers the opportunity to convey complex content in a more detailed and individualized way. It is clear that AI not only serves as a tool for more efficient learning but also helps to direct leaders’ focus on social skills and team dynamics.

The challenge lies in integrating AI into existing structures in a meaningful way without neglecting the human component. The integration of AI represents a balance between technological support and the preservation of essential human interactions.

It is about using AI as a complementary tool that enriches the development of leaders without replacing the personal component of learning and leadership. AI thus serves not as a substitute, but as a valuable extension that allows leaders to focus on their core competencies while developing their skills in a technologically advanced environment.

Alina Helmlinger

Alina Helmlinger

L&D Consultant, MA

Alina has been an L&D Consultant at MDI since 2021 and supports clients from various industries in the tailor-made design of various leadership development programs and training courses. In addition to her practical knowledge and the experience she has already gained in further training, she draws on her sound theoretical knowledge from her Bachelor’s degree in Human Resources Management and her Master’s degree in Organizational and Personnel Development, which she completed in June 2022. Alina keeps calm, especially in challenging situations and leaders to reconcile the interests of different stakeholders in complex projects, thereby designing tailor-made HR solutions geared towards customers’ needs.

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