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The ARS Seminar: Lateral Leadership and AI Role-Playing

The ARS Seminar: Lateral Leadership and AI Role-Playing

by Gunther Fürstberger | Aug 23, 2024 | Digital Transformation, Leadership in the digital transformation, MDI Inside | 0 comments

The ARS Seminar: Lateral Leadership and AI Role-Playing

Immerse yourself in the world of lateral leadership with us and experience realistic role-playing with state-of-the-art AI technology! These methods bring a breath of fresh air to the world of leadership development and show how modern approaches can be successfully applied in practice.

Role-playing in Training

Role-plays have been used in communication training for decades to try out real-life challenges in a safe environment and develop skills. These usually take place either with voluntary participants in front of the group or several groups in parallel.

In the first case, the trainer can give direct feedback, in the second case more participants have the opportunity to practice. Not everyone loves role-playing, but overall it is an effective method for developing social skills.

However, the method also has disadvantages that can now be overcome by artificial intelligence: Trainers or even professional actresses don’t work for free. Training and application dates may be far apart, and by then much will have been forgotten.

Role-playing in training

Large Language Models

With the help of LLMs (Large Language Models), on the other hand, it is possible to train as often as required at a fraction of the cost shortly before real-life use. The ChatGPT 4.0 app offers well-functioning language input and output and can access extensive knowledge, such as the DISG model or the Harvard Principles of Negotiation.

Some trainers at MDI have been experimenting with it for a year now, and the participants are enthusiastic. We demonstrate a role play in front of the group, involve several participants, and then pass on the prompt used for self-practice.

AI in Various Management Systems

We have further developed the prompts so that the feedback from the AI is precisely aligned with the models taught in the seminar. In addition, the resistance intensity of the AI role-play partner has been optimized.

Anyone who would like to experience this in reality will have the opportunity to do so in the ARS seminar “Lateral Leadership” from 22.10. to 23.10. Further exciting role-playing functions are currently being developed.

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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Weak vs. Strong AI: Unraveling the Myths

Weak vs. Strong AI: Unraveling the Myths

by Raphaela Pouzar | Jul 22, 2024 | eLearning, Leadership and AI, Short Knowledge Bits | 0 comments

 

Weak vs Strong AI – Unraveling the Myths

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

Weak vs Strong AI – Unraveling the Myths

Artificial Intelligence has become an integral part of our daily lives, from virtual assistants like Siri and Alexa to recommendation systems on Netflix and Amazon. However, there remains a significant misconception that AI can do more than humans, including possessing human-like understanding and reasoning abilities. To clarify these misconceptions, it’s essential to distinguish between “weak AI” and “strong AI,” the two paradigms within AI research.

Weak AI vs. Strong AI

Weak AI, also known as narrow AI, is designed to perform specific tasks such as image classification, game playing, or speech recognition. These systems excel at their designated functions but cannot understand or infer the underlying causes behind the data they process.

They operate based on pre-defined rules and large datasets, showcasing behavioristic characteristics rather than true cognitive processes. For example, deep learning, a subset of weak AI, uses artificial neural networks to identify patterns and make predictions but does not possess true understanding or consciousness.

In contrast, strong AI, or artificial general intelligence (AGI), aims to replicate human cognitive abilities. This includes reasoning, understanding, and the ability to learn from experiences like humans. Strong AI is not just a tool for problem-solving but is envisioned to have actual mental states, consciousness, and the capacity for imagination.

Despite its theoretical appeal, strong AI remains an elusive goal, as current AI systems lack common sense and the ability to comprehend hidden processes behind the data they analyze.

Misconceptions about AI Capabilities

One major misconception is that AI can surpass human capabilities in all aspects. While AI systems can outperform humans in specific tasks, such as playing chess or Go, they do not possess the holistic understanding and cognitive flexibility inherent to human intelligence. Current AI, intense learning models, are adept at processing vast amounts of data to make predictions but do so without understanding the context or causality behind the data.

Moreover, the myth that AI is “all algorithms” oversimplifies its complexity. AI systems rely not only on algorithms but also on high-quality data, effective user interfaces, and interdisciplinary research. Reducing AI to just a set of algorithms ignores the broader context of its development and application.

 

Weak vs strong AI-2

The Practical Implications of Weak AI

Despite the limitations of weak AI, its practical applications are profound. Weak AI systems provide scalable, efficient solutions for handling big data and have become ubiquitous in various industries. From spam filters and recommendation systems to voice assistants and navigation tools, weak AI enhances our daily lives by automating and optimizing routine tasks.

The Elusive Goal of Strong AI

Strong AI, with its promise of human-like cognition and understanding, remains a topic of extensive research and debate. Some argue that to achieve strong AI, future research should focus on developing compositional generative predictive models (CGPMs) that mimic the human brain’s ability to infer and understand the causes behind sensory inputs.

However, the realization of strong AI poses ethical and practical challenges, including the risk of manipulation and the need for these systems to align with long-term, homeostasis-oriented purposes. However, the development of strong AI is still a distant goal.

Conclusion

Understanding the distinction between weak AI and strong AI helps dispel common myths about AI capabilities. While weak AI systems provide valuable tools for specific tasks, strong AI remains a theoretical concept, far from realization.

Acknowledging these differences is crucial for setting realistic expectations and guiding future AI research and development. As AI technology continues to evolve, it is imperative to focus on ethical considerations and ensure that these advancements serve to enhance human potential rather than overshadow it.

Butz, M. V. (2021). Towards Strong AI. Künstl Intell, 35(1), 91–101. https://doi.org/10.1007/s13218-021-00705-x

Flowers, J. C. (2021). Strong and weak AI: Deweyan considerations. Künstl Intell. Retrieved from Worcester State University. jflowers@worcester.edu

Liu, B. (2021). “Weak AI” is likely to never become “Strong AI”, so what is its greatest value for us? arXiv preprint arXiv:2103.15294. https://doi.org/10.48550/arXiv.2103.15294

Nussbaum, F. G. (2023). A comprehensive review of AI myths and misconceptions. Review: AI Myths and Misconceptions (Version: October 31, 2023). Retrieved from frank@fgnussbaum.com

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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Leadership in Transition: Insights from Leadership Horizon 2024

Leadership in Transition: Insights from Leadership Horizon 2024

by Christoph Wirl | Jul 4, 2024 | Leadership and AI, Leadership Tips, MDI Inside | 0 comments

Photo credits: Jenny Theolin

 

Leadership in Transition: Insights from Leadership Horizon 2024

This was our Leadership Horizon Conference of 2024! Click here and immerse yourself in the Highlights.

Leadership in transition: Insights from Leadership Horizon 2024

Here you can find the original report by magazine training editor Christoph Wirl: 

A guide to the most effective strategies for integrating artificial intelligence – We report on the Leadership Horizon conference.

MDI’s Leadership Horizon Conference retook place this year on June 4 at SO/Vienna and was dedicated to the increasing fusion of leadership practices and Artificial Intelligence (AI). It served as a platform for the exchange of practical findings and strategies for integrating AI into management processes.

Around 160 HR experts and managers from various industries came together to share their experiences and visions. The event was English-language and hybrid, allowing international participants to attend both online and in person.

The impressive line-up of speakers was consistently compelling. The event offered a successful mix of inspiring keynotes, practice-oriented workshops, and insightful business cases.

The two sides of the AI coin

CEO Gunther Fürstberger opened the conference with a virtual avatar, created with the HeyGen program’s help, and looked very similar to the real speaker. He spoke about the importance of artificial intelligence for both companies and managers.

He showed both sides of the coin: For example, many people have already been killed through the use of AI-controlled drones in war zones. At the same time, however, the use of artificial intelligence in medicine has already saved the lives of millions of people or significantly improved their health.

AI therefore has a clear impact on our society, which is why we need to develop and use this technology responsibly. We need to harness the potential of AI for the benefit of humanity while carefully weighing up the potential risks and ethical challenges.

Photocredits: Jenny Theolin

AI is not magic

When the conference moderators asked the audience who was not yet sufficiently familiar with the topic of artificial intelligence, more than half of the attendees responded. This just goes to show that we need to engage more with this forward-looking topic.

Afterward, magician Tobias Grünfelder from the Abracademy fascinated the participants and drew parallels between the art of magic and artificial intelligence:

“AI is not magic – we just need to look behind the scenes. Just as professional magicians do not rely on a single trick, we should also take a holistic approach to the application of artificial intelligence. It is not enough to see AI as some kind of magic bullet that solves all problems by itself. Instead, it is important to understand the underlying mechanisms and functioning of AI systems to be able to use them effectively and responsibly.”

AI-powered leadership

Johannes von Mikulicz-Radecki also emphasized the complexity of using AI in leadership in his presentation “AI-Powered Leadership”:

“The time when you could experiment with AI and try out different use cases is over. Now it’s about putting what you’ve learned into practice.”

This requires managers to clearly understand the possibilities and limitations of artificial intelligence and the ability to strategically integrate this technology into their business processes. In addition, von Mikulicz-Radecki emphasized the general relevance of AI tools in companies:

“Artificial intelligence is too important to be left only to management.”

Photocredits: Jenny Theolin

An insight into UNIQA’s AI strategies

Later, keynote speaker Cristina Anculescu showed how UNIQA has optimized the employee experience with the help of AI tools. She reported that 47% of Gen Z employees surveyed said they received better career advice from AI than from their managers. For example, some upload their LinkedIn profile to ChatGPT and ask for suggestions for improvement.

In response, UNIQA has used AI to develop and promote individual career paths for its employees. Intelligent algorithms are used to create individual development plans. These are based on the strengths, interests, and goals of individual employees.

The downside of flexible home office arrangements

After the lunch break, renowned expert and speaker Ryan Jenkins was connected live from the USA. The technical implementation went smoothly so that both the participants on-site and the online participants were able to follow his presentation without any problems. He addressed the importance of interpersonal connections within a company:

“When employees feel isolated, they are up to seven times more likely to work inefficiently.”

He noted that due to excessive use of our smartphones and online media, we are often unable to build and maintain relationships with our colleagues. In this day and age, people are more independent of each other than ever before, making it harder to make and maintain connections. Jenkins therefore warned that the often overly flexible home office regulations should be critically scrutinized.

Photo credits: Jenny Theolin

Dangers and fears around AI

Rebecca Johnson presented the possibility of learning using AI avatars and introduced a specific tool that enables particularly effective practice of negotiation skills.

In her final presentation, Bailey Parnell tried to allay the audience’s fears of artificial intelligence. She explained basic concepts such as machine learning and deep learning and introduced various AI tools, including Canva, Suno, Copilot, and image generation software.

She also addressed the potential dangers of AI and discussed possible job losses due to automation, the loss of privacy and the problem of bias in AI systems.

Conclusion on Leadership in Transition: Insights from Leadership Horizon 2024

The Leadership Horizon Conference 2024 once again proved to be a great event for executives who want to integrate AI into their corporate strategies. It provided valuable insights into current trends and inspired thinking about the future role of technology in leadership.

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From Typewriters to AI: Leadership Over the Past 60 Years

From Typewriters to AI: Leadership Over the Past 60 Years

by Rahpaela Pouzar | Jun 12, 2024 | Leadership and AI, MDI Inside, Short Knowledge Bits | 0 comments

Photo credits: Jenny Theolin

 

From Typewriters to AI: Leadership Over the Past 60 Years

This was our Leadership Horizon Conference of 2024! Click here and immerse yourself in the Highlights.

From Typewriters to AI: The Evolution of Technology and Leadership Over the Past 60 Years

As we stand on the brink of a new era in technology and leadership, it’s crucial to reflect on the journey that has brought us here. Today, personal computers and hybrid work models are standard, but the path to this reality has been filled with remarkable innovations and visionary leaders.

Celebrating 60 years of MDI’s impact on shaping and training leaders, we look back at the extraordinary changes in both technology and leadership since 1964. As Isaac Newton said, “If I have seen further, it is by standing on the shoulders of giants.” Let’s embark on a journey through time to appreciate how far we’ve come.

The Birth of the Digital Age

In 1964, while The Beatles’ “A Hard Day’s Night” topped the charts, Texas Instruments introduced the integrated circuit, marking the dawn of a new era in electronics. Baby Boomers began to integrate these new technologies into the workplace, setting the stage for the digital revolution.

The creation of ARPANET, the precursor to the internet, laid the foundation for a connected world. The 1970s witnessed dynamic shifts in leadership styles, transforming corporate culture. Personal computing emerged with Microsoft and Apple at the forefront, and by 1977, the introduction of the Apple II was revolutionizing both offices and homes.

    Leadership Horizon 2024

    Technological and Cultural Expansion

    The 1980s brought mobility and connectivity into the spotlight with innovations like the Osborne 1 and Motorola’s first mobile phone. The fall of the Berlin Wall in 1989 and the standardization of TCP/IP protocols in 1983 heralded a truly interconnected world.

    Cultural phenomena such as Star Wars captivated millions, redefining the nature of storytelling. As the new millennium approached, Google and Wikipedia transformed our access to and interaction with information. Pop culture evolved with “The Simpsons,” offering a satirical view of American life through the antics of a yellow cartoon family.

    The Digital and Data Revolution

    The introduction of the iPhone and iPad seamlessly integrated technology into daily life, showcasing the adaptability and drive of Millennials stepping into leadership roles. Platforms like TikTok are redefining media consumption, fueled by the creativity and engagement of a new generation.

    Technologies like Tesla’s Autopilot and Google’s advances in quantum computing hint at the incredible possibilities of the future. Contemporary leadership now embraces global movements for climate action, reflecting an evolving focus on sustainability and social responsibility.

    Embracing the New Era

    As we adapt to the ever-changing landscape of our world, the past six decades serve as a testament to the continuous journey of innovation and leadership. Looking ahead, it’s clear that the evolution of technology and leadership will persist, driven by creativity, adaptability, and a vision for a better future.

    As we celebrate the achievements of the past, we eagerly anticipate the exciting advancements that lie ahead, knowing that the journey of innovation and leadership continues.

    Raphaela Pouzar

    Raphaela Pouzar

    Team Assistant

    Raphaela Pouzar, a Bachelor of Business Administration student at IMC Krems, works at MDI as a marketing assistant alongside her studies. Her responsibilities include writing blog entries and creating videos in both English and German for our site.

    • LinkedIn

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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.

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