Designing Transformation with Human Artificial Intelligence

Photo : Designing Transformation with Human Artificial Intelligence

With a keynote under this title, EM Normandie professor Agnis Stibe opened the 17th Annual International Conference on Design Science Research in Information Systems and Technology (DESRIST 2022). It was held on June 1-3 and hosted by the Kate Tiedemann School of Business and Finance, one of six schools within the Muma College of Business at the University of South Florida, USA.

More than 150 international participants from the DESRIST community joined the conference this year, where rigorous academic papers combined with industry practice provided a synergistic path for solving complex transdisciplinary problems. Aiming to address the main conference theme – The Transdisciplinary Reach of Design Science Research.

Conference Opening Keynote

Following the welcome and introductions by the DESRIST conference chairs Alan Hevner and Matt Mullarkey, professor Agnis Stibe gave an opening keynote on Designing Transformation with Human Artificial Intelligence.

His talk was an engaging deep dive into the science and practice of designing transformative solutions that efficiently blend technological advancements with human nature. It provided many insightful videos that uncover who we really are, as well as convincingly portrays a prosperous future with united human artificial intelligence.

While artificial intelligence can make fundamental transformations, people are still at the core of achieving profound organizational and societal hyper-performance. Why? Because, human factors, such as decision making and behavioral choices, continuously influence and determine the level of success and results for most organizations and societies. Therefore, artificial intelligence should be well prepared to manage the peculiarities of human psychology and neurology.

Artificial Intelligence

Artificial intelligence is already helping scientists and practitioners to manage increasing loads of exponentially growing data volumes, thus enabling rapid behavioral pattern recognition. That helps to narrow down and locate groups of people with distinct behavioral deviations, which highlights a possibility of having a common attitudinal barrier behind their underperformance.

Creative and science-driven design ways that enable employees and citizens observing instant feedback are fundamental for sustaining any genuine organizational and societal transformation. Once that mindset is embraced, researchers and practitioners can start designing efficient applications of artificial intelligence for accelerating necessary transformations toward desired hyper-performance.

Organizational Hyper-Performance

Artificial intelligence is inevitably transforming lives and organizations. That brings a huge potential, for example, to achieve desired hyper-performance. Which is not about adding more trainings, knowledge, skills, practice, and education. But rather finding and removing obstacles from human minds, such as poor judgements, distractive thoughts, subjective biases, bad decisions, counterproductive thoughts, and alike.

Organizational success is often measured by using key performance indicators. Such as, for example, revenue growth, profit margin, and customer satisfaction. All of them are good as pointers to the level of hyper-performance in an organization. In each key performance indicator, there is always a human related component. That component often can significantly determine the success of an indicator. For achieving greater hyper-performance, the human component shall be improved. Decision-making, behavioral patterns, and habits are some of the biggest threats.

For example, if employees are reluctant to accept artificial intelligence. That can seriously damage organizational performance. Thus, such thinking needs improvements to achieve hyper-performance. And there are tools and methods available (on to foster that.

Human Artificial Intelligence

With the rapid advancements of artificial intelligence, it is becoming easier and faster to facilitate efficient shifts in human thinking and collective mindsets. It can help us to learn more about our own intelligence. Thus, giving us a unique chance to finally re-unite both intelligences.

Once both intelligences start working in sync, we have arrived at human artificial intelligence. A man-machine symbiosis. A human-technology co-evolution. A state where we leverage computing power to foster our evolution. So, let’s keep the balance right. Between the pace of technological advancements and human evolution. And let’s apply that towards hyper-performance in our lives and organizations.

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    Agnis Stibe Agnis Stibe is a Professor of Transformation. He joined EM Normandie in 2020. He has a PhD in Information Processing Science from the University of Oulu, Finland, awarded in 2014 and held a postdoctoral position at the MIT - Massachusetts Institute of Technology in 2017. His thesis is on Transformation Science & Practice. His research interests are transformation processes, leadership, artificial intelligence, social psychology and neuroscience. He has worked for Fortune 100 companies including Hewlett-Packard and Oracle. He provides consultancy services to companies and entrepreneurs worldwide. He is the Academic Director of M2 Artificial Intelligence at EM Normandie.

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