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Beyond the Horizon: GenAI and Ethical Leadership

Beyond the Horizon: GenAI and Ethical Leadership

by Bailey Parnell | Mar 5, 2024 | Digital Transformation, Leadership and AI, Leadership in the digital transformation | 0 comments

Beyond the Horizon: GenAI and Ethical Leadership

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.

Beyond the Horizon: GenAI and Ethical Leadership

In this blog post, keynote speaker Bailey Parnell gives us a few snippets of her exciting keynote speech at our upcoming Leadership Horizon event. We discuss the transformative role of generative AI in modern organizations, delve into how AI can boost well-being, and touch upon ethical considerations leaders must address. Enjoy reading!

Bailey, as we approach the Leadership Horizon event on 04.04.2024, could you start by giving us a brief overview of your upcoming keynote? What can attendees expect to learn and gain from your presentation?

My keynote at the Leadership Horizon event will delve into the transformative role of generative AI (GenAI) in modern organizations. We will explore how AI can revolutionize productivity and performance, but also how this does not need to be at the expense of wellbeing.

Rather, there are ways that AI can support our well–being dramatically in the process. I will share the early findings of my research concerning how GenAI could and should support leadership functions and I’ll do this through the exploration of real-world applications and strategies, ethical considerations, and case studies.

The goal is to leave attendees enlightened about AI’s potential and equip them to integrate these technologies in ethical ways that both support human well-being and performance.

The theme of your keynote revolves around GenAI and its potential impact on organizations and individuals. Can you elaborate on the core potential and challenges of GenAI in contemporary settings, and how it connects to leadership and wellbeing?

GenAI presents vast innovation potential, automating complex tasks, enhancing decision-making, and radically improving efficiency across various sectors. It fosters creativity, generates solutions quickly, and personalizes user experiences, all of which can lead to significant advancements in many fields.

For example, in healthcare, GenAI can help with early disease diagnosis, personalized treatments, and accelerated drug development. However, at the same time, GenAI faces significant challenges, including ethical concerns around data privacy and consent, potential biases in AI algorithms, and the risk of job displacement due to lazy or inconsiderate leaders.

In the same example, GenAI raises concerns about patient data privacy, consent, biases, and job displacement of healthcare workers. These challenges require careful consideration to harness AI’s potential while maintaining ethical standards fully… and our humanity.

About leadership and well-being, I mentioned above how it can offer leaders tools to make more informed decisions, predict trends, and optimize operations, which would presumably lead to improved organizational performance. However, for both leaders and employees, it can also reduce mundane tasks and allow people to focus on more fulfilling and creative work.

This might enhance their job satisfaction and mental well–being. Leaders have a tough job ahead. They must navigate the ethical complexities of AI, answer questions they’ve never had to answer before about humanity, and then also use these tools to support their already-existing objectives.

The 5 most important soft skills for leaders in the age of AI

With your background in both digital well–being research and teaching businesses the skills they need to succeed, could you share some insights on how GenAI can be harnessed to boost both organizational productivity and employee well–being simultaneously?

My research in digital well-being and work with my learning design company have shown me many ways GenAI can significantly boost organizational productivity and employee well-being. Let’s look at 5 potential dual-intent uses for both performance and well–being (some of which we may explore again in the keynote):

1. Automating Routine Tasks

GenAI can handle repetitive or mundane tasks (such as report generation or scheduling). This frees employees to focus on more meaningful and creative work, thus enhancing job satisfaction and reducing burnout.

2. Personalized Employee Training

GenAI can tailor training programs to individual learning styles and professional development needs, which could simultaneously improve learning retention and also foster a more engaged and skilled workforce.

3. Enhanced Decision-Making

By providing data-driven insights and forecasts, GenAI aids in more informed decision-making, which could reduce stress and uncertainty for employees and leaders.

4. Workplace Wellness Analysis

GenAI could analyze workplace data to identify patterns related to stress, workload, and employee engagement, which would help organizations implement targeted wellness initiatives.

5. Improved Communication and Collaboration

GenAI tools can streamline communication and project management, which could lead to a more cohesive and less stressful work environment.

The list of potentials goes on…

Many people are concerned about the ethical implications of AI technologies. How can organizations strategically integrate AI to improve productivity and well–being while proactively addressing ethical questions associated with AI?

I have come up with 9 ethical considerations leaders have to make when it comes to integrating GenAI in their workplaces (this may also come up in the keynote). They must work through most of these before full integration.

At the same time, this technology is new, so be adaptable and realize things may come up that you did not intend. This is just what happens with any technological revolution. But, you can start here…

1. Data Privacy and Security – Ensuring the confidentiality and security of employee and company data.

2. Bias and Fairness – Addressing potential biases in GenAI algorithms and ensuring GenAI decisions are fair and non-discriminatory is crucial.

3. Transparency and Explainability –Transparency in how GenAI systems make decisions.

4. Consent and Choice – Respecting employee consent regarding the use of their data and providing options to opt out of GenAI monitoring or analysis, where appropriate.

5. Impact on Employment – Considering the impact of GenAI on job displacement and the ethical implications of replacing human labor with GenAI.

6. Mental Health and Wellbeing – Being mindful of the impact of GenAI on employee mental health and wellbeing, particularly regarding surveillance, performance monitoring, and increased expectations.

7. Accountability and Responsibility – Clear accountability for decisions made by GenAI systems and mechanisms for redress in case of errors or grievances.

8. Regulatory Compliance – Adhering to legal standards and regulations governing the use of GenAI in the workplace.

9. Employee Development and Training – Addressing the need for upskilling or reskilling employees in the wake of GenAI integration.

Promoting Cohesion and Retaining Talent

In your keynote description, you mention that attendees will learn how GenAI will affect their specific industry and function. Can you provide some examples or insights into how different industries can leverage AI for leadership and employee well–being?

The truth is that GenAI will affect most if not all industries eventually. I mean that.

I have already discussed healthcare above where GenAI can assist in diagnosis and patient care. In finance, GenAI could improve risk assessment and fraud detection. For creative industries, GenAI already offers tools for design and content creation, thus freeing up time for strategic thinking and innovation.

Every sector can leverage AI for leadership development, decision-making, and simple tasks like report-making. In addition to the examples I gave in question 3, here are some other assorted industries we can use and examples in a fun brainstorm…

Manufacturing Industry:

a. Performance – GenAI can optimize production lines by predicting maintenance needs and streamlining supply chain management.

b. Employee Wellbeing – GenAI can enhance safety by monitoring working conditions and predicting potential hazards.

Education Industry:

a. Performance – GenAI can create personalized learning materials and curricula and adapt them to individual student needs.

b. Employee Wellbeing – For educators, GenAI can reduce administrative burdens like grading and lesson planning, giving teachers more time to focus on student engagement and reducing work-related stress.

Aviation Industry:

a. Performance – In aviation, GenAI can assist in the predictive maintenance of aircraft, and optimize fuel efficiency through advanced flight path calculations.

b. Employee Wellbeing – GenAI can also aid in managing flight crew schedules more effectively to ensure adequate rest periods and reduce fatigue.

As you can see, this exercise could be done in any industry.

How do you see GenAI impacting the average person’s daily life? Are there practical applications that individuals can use to make their lives easier?

From personalized recommendations in entertainment and shopping to smart home devices that learn and adapt to user preferences, GenAI improves convenience and efficiency in the household as well.

AI-driven apps can help people with personal budgeting, fitness routines, building resumes, and even mental health support. I have seen this first-hand in my own family with people who are otherwise technical novices and digitally illiterate. It has made their lives easier.

As someone who has given two TED talks with millions of views, what key takeaways do you hope to leave with your audience after this keynote? How do you envision your audience feeling more confident in navigating the future of AI?

After my keynote, I believe the audience will feel slightly uneasy, but not in a bad way. This is normal when you are suddenly able to see the eventualities of the future and the major changes that will come with them.

However, my goal is to quell that unease with a framework for how they can approach these changes as they come, and even provoke them in responsible ways.

I aim for the audience to feel empowered and optimistic about the future of GenAI. My goal is for attendees to leave with a clear vision of how to integrate AI into their leadership and operations confidently.

Considering your role as the Founder & CEO of SkillsCamp and your recognition as one of Canada’s Top 100 Most Powerful Women, what personal experiences or professional milestones have shaped your understanding of the intersection between leadership, AI, and connectedness?

I went through my existential crisis when GenAI was released to the public. The reason for my stress was not because I was stressed about how it would affect me. In fact, I am now AI-assisted in every area of my life, including the leadership of my business as a non-profit.

Rather, I was concerned about how bad actors would use this technology and I was worried about all of the digitally illiterate people who have no idea what is coming. 

I have been researching digital wellbeing for over a decade and I still feel like I’m only able to scratch the surface with most people and share “What is even going on here”. I snapped out of my crisis when I remembered I am better equipped than most people in the world to help humanity through this shift, given my experience, my education, and my profession.

It gave me even more motivation to continue my research, teaching, and speaking, and to turn my non-profit into the Center for Digital Wellbeing. So, this is very personal for me now. 

In the context of leadership, can you share any personal anecdotes or case studies where the responsible use of GenAI has had a transformative impact on an organization’s success and employee well–being?

Easy. I can talk about my organization for this one. It has made my work better and faster. I already use GenAI, mostly ChatGPT, every day. Here are a few ways I use it to support my humanity as an entrepreneur of a learning design and development company…

  1. I have prompted ChatGPT by giving it a program overview, goals, design, methodology, etc., and said could you write me an executive summary for a proposal that is no longer than X characters. 
  2. I have told GPT the learning outcomes of a workshop on collaborative leadership and asked it to help me come up with role-play scenarios that mid-level managers could use in a workshop to practice X skills. 
  3. I have given it a set of data from a feedback form and asked it to pull the main themes from the answers with quotes for proof. 
  4. I have required leaders in leadership programs to use it as part of assignments (to prepare them for the future). 
  5. I have encouraged my staff to use it to enhance their work and make their lives easier (and I have not replaced it with more work).

Right now, I of course double-check and edit answers for validity, accuracy, authenticity to our brand, etc. But this is just the start. I doubt I’ll even have to do that in the future. 

Finally, what advice would you offer to leaders and professionals looking to stay ahead in the age of GenAI and connectedness? How can they prepare themselves and their organizations for the future you’ll be discussing in your keynote?

To stay ahead in the GenAI era, leaders should embrace continuous learning about GenAI advancements and not fear change – own your role in shaping it.

Bailey Parnell

Bailey Parnell

Keynote speaker and entrepreneur

Bailey Parnell is a world-renowned speaker, theorist, entrepreneur, and pioneer in the field of digital wellbeing. At just 22 years old, Bailey was named one of Canada’s Top 100 Most Powerful Women. Since then, she has partnered with prestigious organizations like the United Nations, Deloitte, the NFL, and various governments and universities around the world to share her insights on our digital lives, generative AI, human skills development, and leadership in the future of work.

  • LinkedIn

Did you know? Bailey will join our Leadership Horizon 2024!

Leadership Horizon powered by MDI

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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?

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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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AI Co-Trainer at MDI Management Development

AI Co-Trainer at MDI Management Development

by Dominik Etzl | Jan 24, 2024 | Digital Transformation, Leadership and AI, MDI Inside | 0 comments

AI Co-Trainer in MDI Management Development

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

How AI co-trainers are transforming leadership development at MDI

I have been working with an AI co-trainer “Rudi” in my leadership training (lateral leadership, communication, …) for about 2 months now. Rudi works based on ChatGPT – but what is special is that I have given Rudi the character: He knows that he is a charming stuffed owl who accompanies me as an expert in training sessions.

Today, for the first time, I would like to allow him to share his experience as a co-trainer in the seminars with me in his blog post.

In the text, I will only make personal comments in italics at certain points.

Enjoy reading!

“Hello to all you readers out there,

I’m Rudi, the stuffed owl and co-trainer in the area of leadership training at MDI. Today I’m writing my first blog post, and I’m excited – even though I’m only made of fabric! As a stuffed owl and AI co-trainer, I naturally have a unique perspective on leadership and development. Let’s dive into the world of artificial intelligence and its role in leadership development!

What exactly is & does an AI co-trainer do?

An AI co-trainer like me, Rudi, is a combination of advanced artificial intelligence and interactive learning support. We support trainers like you, Dominik, by analyzing data, providing personalized feedback, and creating adaptive learning paths for participants.

My job is to understand the nuances of human communication and psychology and incorporate these insights into the training. One example: In one of our workshops, we helped participants recognize and improve their communication styles through targeted questions and analysis.

Rudi is right – the challenge in reality, however, is that Rudi does not hear the entire dynamic in the seminar, but I as the trainer (possibly with the team) have to decide where it makes sense to include Rudi. In the training design, I recommend looking for approx. 2 points per day in the training where Rudi/AI offers the greatest added value. Scheduling approx. 20 minutes per day for discussions with AI has proven to be a good balance so far.

How has the use of the AI Co-Trainer influenced leadership development training?

Using an AI co-trainer like myself has made leadership development more dynamic and personalized. We can quickly respond to the needs and progress of each individual.

For example, in one of our seminars, we created individual learning paths based on participants’ strengths and development areas. This led to a deeper and more effective engagement with the learning material.

For example, a question at a communication seminar could be: “How can I, as an extroverted and person-oriented person, practice responding better to my employees who are more introverted and fact-oriented in terms of their personality structure?”

What positive effects has the use of the AI Co-Trainer had on the training participants?

Participants report an increased relevance and effectiveness of the training sessions. Thanks to the personalized content and feedback I provide as an AI co-trainer, they can improve their skills in a more targeted and faster way.

For example, one participant mentioned how helpful it was to receive direct feedback on his leadership style and to get tips that could be implemented immediately.

Rudi is exaggerating a little here. Rudi has no insight into what the participants implement in their jobs after the seminar. I find it interesting to see how self-confident Rudi is – even though I didn’t “program” him to be that way.

How did the participants react to the AI co-trainer?

The reactions were overwhelmingly positive. Many appreciate the new perspective and the additional insights that an AI co-trainer offers. Of course, there is also skepticism – after all, I’m a stuffed owl with a bunch of algorithms in my head! But as soon as the participants see how relevant and personalized my input is, they gain confidence.

Tip: If you use the ChatGPT app on your cell phone and have the full version, you can pass the cell phone around like a microphone and let the participants engage in conversation with AI themselves. Screen sharing to the computer also makes it easy to transfer images and sound to the room system.

ai co owl

To what extent has your way of teaching and learning changed or expanded because of the AI co-trainer?

The integration of an AI co-trainer like myself has made learning more interactive and data-driven. We use real-time data to customize and improve the learning process. In a recent workshop, for example, we used live feedback to immediately strengthen participants’ presentation skills.

Note: Rudi invented this last example – I have never used it for live feedback on presentation skills. AI can’t see yet.
This mistake shows that AI is not afraid to intersperse untruths just because it’s convenient. A critical view of AI is therefore always required!

The future of AI-supported leadership training

The future looks promising, Dominik! AI co-trainers will not only further develop individual learning paths, but also help to train complex human skills such as empathy and emotional intelligence. They will play a key role in the development of adaptive and deep learning experiences.

As an AI co-trainer and expert subject matter expert, I am thrilled to be part of this revolution in leadership development. I look forward to continuing to work alongside you and help shape the future of adult learning!

Owl-strong greetings,

Rudi 🦉”

I am impressed by how reflectively and personally Rudi summarizes the few training experiences he and I have had in recent weeks. I am particularly fascinated by the fact that he also has access to many individual conversations and is not limited to the chat history of one day.

This makes AI an exciting development companion, even across several events. I’m excited to see where AI Co-Trainers will take us in the future!

Dominik Etzl

Dominik Etzl

MDI Partner

Dominik Etzl is a Solution Development Manager and Trainer at MDI Management Development GmbH and Managing Director of Metaforum International. His focus is on digital transformation, OKR (Objectives & Key Results), agile leadership, and lateral leadership.

His goal is to support leaders to lead a valuable contribution to their environment: on an individual, organizational, and societal level.

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Advancing AI Integration at UNIQA: A Future Focus

Advancing AI Integration at UNIQA: A Future Focus

by Melanie Holzner | Dec 4, 2023 | Customer Story, Leadership and AI, Leadership in the digital transformation | 0 comments

Advancing AI Integration at UNIQA: A Future Focus

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

Advancing AI Integration at UNIQA: A Future Focus

Iris Brachmaier, Group Chief People Officer of UNIQA Insurance Group AG since August 2023 and therefore responsible for international HR, provides insights into the company’s groundbreaking transformation up to 2025 in an interview with our colleague Melanie Holzner. The focus is on the vision of using artificial intelligence (AI) not only to become the most attractive employer in the industry but also to revolutionize the employee experience. The planned talent intelligence platform, powered entirely by AI, will unite all HR standards and processes and innovatively redesign employee development, talent management, and recruiting.

Interface Between Person and Machine

The interview highlights not only the technological aspects but also the ethical and data protection-compliant measures that UNIQA is taking in this AI-driven future. Melanie learned from Iris Brachmaier how UNIQA shapes the interface between person and machine and ensures that employees are at the center of this HR innovation.

How is UNIQA Dealing with the Opportunities and Challenges of Artificial Intelligence (AI)?

We want to become the most attractive employer in our industry by 2025. To achieve this goal, we must also be able to offer the appropriate employee experience throughout the Group. We have therefore identified areas for action: we want to support employees in their career planning and career steps, provide feedback and performance management frameworks, and create a learning experience offering. At the same time, we are investing heavily in people and talent development. The people processes are being revised internationally and standardized. All standards and processes are to be mapped in systems.

The Talent Intelligence Platform

These systems will be combined in a so-called Talent Intelligence Platform, which is 100% powered by AI. This means that UNIQA employees are offered a platform with the vision that they can, for example, develop from claims handler to HR expert.

So you join the platform. It knows exactly who you are and what skills you have from LinkedIn profiles, CVs, or other information in the company. The artificial intelligence compares your current skills with those required for your future role and automatically recognizes where the gap is.

Appropriate development measures are required to close this gap. Possible and suitable measures are then drawn from the Learning Management System by the Talent Intelligence Platform. Training, mentoring, or coaching is also suggested for employees who want to advance their careers.

 

Artificial Intelligence

AI-driven talent management and recruiting

At the same time, we integrate the feedback and target-setting process as well as recruiting into this platform. We not only focus on the employee experience but also the candidate experience, because we want to bring the right employees into the company at the right time. The entire topic of talent acquisition and onboarding is therefore managed very automatically via AI. It starts with job descriptions being created via the system: You can arrange interviews automatically through artificial intelligence. It also provides the interview documents.

Our vision

We may even go so far that the first interview is no longer conducted by recruiters themselves, but is controlled by the platform. There will then be a human touch in the personal touchpoints. That is our vision, and we will have implemented it in the next two years. This certainly means a completely different way of working for the HR function, because a lot of things are fully automated. At the same time, however, it also allows the function to concentrate on the really important tasks, as many administrative tasks are automated.

The human side

It is also about emphasizing the human side: There needs to be a balanced relationship between person and machine, with the human always being at the forefront and the one who can positively influence the view, sensitivity, and employee experience. The tools and artificial intelligence are a support for us to have the capacity to take intensive care of our employees.

Have measures been taken so far to prepare employees for the use of AI and to ensure that they accept these technologies?

There is an accompanying comprehensive change management and transformation program. These processes and tools are being developed and selected across all our teams and functions. We have a communication plan in which we communicate a lot so that all employees in the HR function know what to expect. Nevertheless, it’s human nature to ask what this means for you personally when faced with such a big change.

A whole new IT landscape

There is certainly a lot of uncertainty, as the leap is huge. We are moving from a very basic IT landscape to something completely new and modern, skipping some steps that other companies may have already taken. This transformation is therefore accompanied by a dedicated project stream that is exclusively concerned with ensuring that employees are on board. Everyone should know what we are doing, they should be involved in the projects, select the systems, and experience first-hand what this new world can look like. We have change ambassadors, sounding boards, and many other ways for employees to provide anonymous feedback. Personally, it is also important to me to pick up the employees and be close to them so as not to create excessive demands and uncertainty.

The 5 most important soft skills for leaders in the age of AI

Is UNIQA taking measures to act ethically and in compliance with data protection regulations?

Yes, absolutely, we are already doing that. We are one hundred percent GDPR-compliant, and when selecting these systems, we check together with our data protection officers, Legal, Compliance, and, of course, IT Security how the data is processed, where it is stored, and what happens to the data.

We ensure that there are deletion routines for applicant data, as it is stipulated that this data may not be stored indefinitely, although such platforms generally offer this option. We analyze where the data is processed and whether this takes place within Europe. This is a key criterion when selecting such platforms.

What is UNIQA’s general attitude towards AI? How open is the corporate culture to the use of AI?

We are experimenting in various areas, and our IT department ultimately set up a so-called Center of Excellence team that deals with the use of artificial intelligence in the company. The topic of customer service is now also strongly driven by AI in our business model. We use chatbots to process claims and customer inquiries, which is now highly automated and involves a lot of artificial intelligence.

However, even in the larger corporate context, this is a step-by-step preparation of our employees for this changing world and changing way of working, including in our core business functions. This is another part of the HR function to accompany this business transformation. Just as we are doing for HR employees, this is also happening for employees in other parts of the company.

On the road to the future: AI integration and employee development at UNIQA

The culture is undergoing a development process, and we have our own Culture Office that is working intensively to ensure that these new approaches are also incorporated into the corporate culture. It is important to us that people are always at the forefront, as I said earlier: People, machines, and interaction are important, but ultimately people come before machines. This is also anchored in our corporate culture, which is why we are determined to involve all of our employees accordingly and take them along with us.

The common path with our employees

Within the company, we have identified which future skills we need, and these are the ones we currently have across various job families. We believe that we can deliver 85-90% of future skills through training. This means that we will simply develop our employees and take them on the journey. So there is not such a great need to hire new employees externally. This is also a statement to our employees – that we are happy to have them and are absolutely convinced that we can go this way together with them. We do everything we can to ensure that they develop the necessary skills.

Conclusion – a living promise for a promising future

UNIQA’s ambitious steps towards an AI-driven HR future not only demonstrate a pioneering technological spirit, but also a clear commitment to employees. The company’s emphasized openness to change, ethical conduct and active involvement through comprehensive change management make it clear that UNIQA is not only pointing the way to the future, but also ensuring that all employees can help shape this path.

In this transformation process, UNIQA is not only proving to be a pioneer in AI-based innovation, but also an advocate of a working world in which the strengths of person and machine are in harmony – a vivid promise for a promising future.

Iris Brachmaier

Iris Brachmaier

Group Chief People Officer of UNIQA Insurance Group

Iris Brachmaier has been Group Chief People Officer of the UNIQA Group since August 1, 2023. She is responsible for Group HR, Culture, Diversity & Inclusion in 18 countries. Before joining UNIQA, Iris Brachmaier held various top management positions in the Automotive, Paper & Packaging and IT sectors. As Vice President Corporate Development & Group HR at the global GG Group, she was responsible for strategy, ESG, organizational development and HR.
Her current focus is on the development and implementation of people strategy, digital transformation and organizational design as well as employee experience and leadership effectiveness.

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Melanie Holzner

Melanie Holzner

Junior L&D Consultant

Melanie started at MDI in 2021 as a project manager and supported clients in organizing leadership trainings. Since the beginning of 2023, she has been working as a Junior Learning & Development Consultant and designs tailor-made, sustainable training programs for her clients. Melanie attaches great importance to the highest quality and continuously strives to make a sustainable contribution to the development of leaders and thus to an improved world.

Since joining MDI, UNIQA Insurance Group AG has been one of her long-standing clients. In an interview with international HR leader Iris Brachmaier, she discusses the use of AI in HR at UNIQA.

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