g-f(2)2211 Staying Ahead of the Curve: The Need for AI Literacy in Leadership

 

genioux Fact post by Fernando Machuca and Copilot

Introduction: 

The article “Why Executives Can’t Get Comfortable With AI” from MIT Sloan Management Review delves into the challenges executives face in understanding and implementing AI in their organizations. It emphasizes the need for continuous learning and the development of AI literacy among leaders.

genioux GK Nugget: 

"Executives must embrace the discomfort of continuous learning to develop AI literacy and stay on the cutting edge of AI understanding." — Fernando Machuca and Copilot, April 10, 2024

genioux Foundational Fact: 

AI is a rapidly evolving field with diverse applications across different organizational functions. To leverage its full potential, executives need to understand foundational AI principles and keep up with the transformation opportunities that open up. This requires a commitment to continuous learning and the ability to embrace the discomfort that comes with staying on the cutting edge.

The 10 most relevant genioux Facts:

1. AI is an elusive label that encompasses technology tools with very different kinds of properties.
2. Organizational functions need different AI applications heavily tailored to their own data and workflows.
3. AI applications are changing at a furious rate.
4. The C-suite expects business leaders to keep up with the related transformation opportunities that open up.
5. Executives don’t need to develop deep coding skills, but they do need a sound understanding of foundational AI principles.
6. The authors suggest a new guiding theme for executives’ AI literacy: Make technology-related discomfort a habit.
7. The authors suggest three ways to develop and practice the habit of maintaining AI literacy.
8. Seek the Discomfort of Continual Learning About AI.
9. The authors base their suggestions on several recent and ongoing AI literacy studies.
10. These studies include analyses of 6,986 executives’ AI skills, 645 companies’ board structures, and experimental studies on human-AI collaboration.

Conclusion: 

In conclusion, the article underscores the importance of AI literacy among executives. It suggests that embracing the discomfort of continuous learning is key to staying abreast of the rapid changes in AI applications and leveraging their transformational potential. The authors provide practical suggestions for developing and maintaining AI literacy, emphasizing the need for executives to make technology-related discomfort a habit.

REFERENCES

The g-f GK Article

Marc Pinski, Monideepa Tarafdar, and Alexander Benlian, Why Executives Can’t Get Comfortable With AI, MIT Sloan Management Review, April 9, 2024.

ABOUT THE AUTHORS

Marc Pinski is an information systems researcher at the Technical University of Darmstadt in Germany. Monideepa Tarafdar is the Charles J. Dockendorff Endowed Professor of Information Systems at the University of Massachusetts, Amherst’s Isenberg School of Management. Alexander Benlian is the Chaired Professor of Information Systems and Electronic Services at the Technical University of Darmstadt.

Classical Summary:

The article “Why Executives Can’t Get Comfortable With AI” from MIT Sloan Management Review explores the challenges that executives face in understanding and implementing AI within their organizations. The authors argue that AI is a rapidly evolving field that requires continuous learning and adaptation. They highlight that AI is an elusive term that encompasses a variety of technology tools, each with different properties and applications. These applications are constantly changing, and executives are expected to keep up with the transformation opportunities that arise.

The authors suggest that executives don’t need to become coding experts, but they do need to understand foundational AI principles. They propose a new guiding theme for executives’ AI literacy: making technology-related discomfort a habit. This involves seeking the discomfort of continual learning about AI. The authors base their suggestions on several recent and ongoing AI literacy studies, including analyses of 6,986 executives’ AI skills, 645 companies’ board structures, and experimental studies on human-AI collaboration. The article underscores the importance of AI literacy among executives and the need to embrace the discomfort of continuous learning to stay abreast of the rapid changes in AI applications.

Marc Pinski

Marc Pinski is an Information Systems Researcher at the Technical University of Darmstadt in Germany³. He holds a Master of Science degree¹². As a part of the Information Systems and Electronic Services (ISE) team at the university, he contributes to the field with his research¹².

His work involves a wide range of research interests and teaching responsibilities¹². He has also contributed to several publications¹². More specific details about his research interests, teaching responsibilities, and publications can be found on his profile on the university's website¹².

Source: Conversation with Bing, 4/11/2024

(1) Why Executives Can’t Get Comfortable With AI - MIT Sloan Management .... https://sloanreview.mit.edu/article/why-executives-cant-get-comfortable-with-ai/.

(2) Marc Pinski - Information Systems and Electronic Services – TU Darmstadt. https://www.ise.tu-darmstadt.de/ise_institute/ise_team/marc_pinski.de.jsp.

(3) Marc Pinski - ISE – Information Systems and Electronic Services – TU .... https://www.ise.tu-darmstadt.de/ise_institute/ise_team/marc_pinski.en.jsp.

Monideepa Tarafdar

Monideepa Tarafdar is the Charles J. Dockendorff Endowed Professor of Information Systems at the University of Massachusetts, Amherst’s Isenberg School of Management¹². She also serves as the PhD Coordinator in Information Systems Operations & Information Management¹.

Educated in India, she studied physics, math, and chemistry as an undergraduate and earned a master’s degree in engineering³. She holds a PhD in Management, specializing in information systems and strategy, from the Indian Institute of Management Calcutta, India¹²³.

Before joining the University of Massachusetts, she taught at the University of Toledo, Ohio, and Lancaster University in England²³. She has held various academic appointments, including Visiting Scholar at The London School of Economics and Political Science, Senior Fellow at Wiezenbaum Internet Institute, Berlin, and Co-Director of the Highwire Doctoral Training Program at Lancaster University².

Her research interests include AI and hiring/recruitment bias, maladaptive and motivational use of IS, enterprise artificial intelligence, information systems strategy and business innovation, information systems in operations and supply chain management, and healthcare operations². She has received competitive external funding of more than 1.5 million USD as Principle Investigator².

She has received several awards for her research and service, including best paper awards from AIS, INFORMS, Elsevier, and Decision Sciences Institute, and service awards from AIS, INFORMS, and ACM¹². She also serves as a Scientific Advisor for Unplug, Dublin, Ireland².

Source: Conversation with Bing, 4/11/2024

(1) Monideepa Tarafdar : Isenberg School of Management : UMass Amherst. https://www.isenberg.umass.edu/people/monideepa-tarafdar.

(2) PROFESSOR MONIDEEPA TARAFDAR - isenberg.umass.edu. https://www.isenberg.umass.edu/sites/default/files/2024-01/MonideepaTarafdar_Vita_01012024.pdf?1710871028.

(3) Monideepa Tarafdar : UMass Amherst. https://www.umass.edu/gateway/article/monideepa-tarafdar.

(4) Tarafdar, Monideepa — The INFORTE.fi programme. https://inforte.jyu.fi/speakers/M_Tarafdar.

Alexander Benlian

Professor Alexander Benlian is the Director of the Endowed Chair for Information Systems & Electronic Services at the Technical University of Darmstadt (TU Darmstadt)¹. He has held this position since 2012¹. Prior to this, he was at the University of Munich (Ludwig-Maximilians-Universität München), where he received his PhD and worked as an Assistant Professor¹.

In addition to his role at TU Darmstadt, he is also a faculty member at Goethe Business School, Frankfurt, teaching MBA courses in the Master of Digital Transformation Management¹. His research interests include algorithmic management's role in evolving business landscapes, from traditional to platform organizations, the digital metamorphosis of the workplace, and collaborative dynamics between humans and AI¹.

He has cooperated with scholars and companies around the globe in several research and consulting projects¹. His research has been published in leading academic and practitioner-oriented journals like MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of Service Research, Entrepreneurship Theory & Practice, Journal of Business Venturing, Journal of the Association for Information Systems, MIS Quarterly Executive, Harvard Business Manager, and several others¹.

According to national and international research rankings, he is regularly among the top 1% of Information Systems scholars worldwide¹.

Source: Conversation with Bing, 4/11/2024

(1) Prof. Dr. Alexander Benlian - ISE - TU Darmstadt. https://www.ise.tu-darmstadt.de/ise_institute/ise_team/alexander_benlian.de.jsp.

(2) Alexander Benlian | Home Page. http://www.benlian.de/.

(3) Prof. Dr. Alexander Benlian - ISE - TU Darmstadt. https://www.ise.tu-darmstadt.de/ise_institute/ise_team/alexander_benlian.en.jsp.

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“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2211, Fernando Machuca and Copilot, April 10, 2024, Genioux.com Corporation.

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