Showing posts with label Insead Knowledge. Show all posts
Showing posts with label Insead Knowledge. Show all posts

Sunday, August 31, 2025

🌟 g-f(2)3678: The 5 Golden Drops of AI Discipline

 


How intentional experimentation powers limitless growth





⚙️ The Juice of Golden Knowledge (g-f GK)



[g-f KBP Graphic 1:  The 5 Golden Drops of AI Discipline]



💧 1. 95% Failure → The Illusion of Progress

Corporate dashboards glow with countless AI pilots, yet few deliver measurable returns.
This validates the Two-Speed Revolution: corporate AI fragility versus grassroots AI mastery.




💧 2. Experimentation ≠ Strategy

AI tests must anchor in solving real customer problems, not chasing hype.
Without strategic context, experiments drift into the trap of illusion.




💧 3. Frameworks Drive Scale

HBR prescribes disciplined experimentation—measure intensity, frequency, density.
genioux elevates this: embed pilots within the Strategic Growth Engine, transforming inputs (HI + AI + g-f GK) into transformation outputs.




💧 4. Empowered Teams Are Key

HBR highlights agile “ninja” teams.
genioux translates this into collaborative intelligence squads, mastering g-f PDT and scaling learning across systems.




💧 5. Intentionality Aligns with Transformation

The Strategic Growth Engine unites discipline and vision, aligning pilots to outcomes and avoiding wasted energy.
Intentional experimentation becomes a transformation pathway, not a distraction.








💡 g-f GK Nugget


“AI experimentation without discipline is wasted energy. The Strategic Growth Engine transforms disciplined pilots into scalable breakthroughs, bridging the corporate failure trap and the shadow economy’s success.”






🌟 Short Conclusion

The g-f Responsible Leadership to discipline to design, test, and scale AI is the key to turning today’s experimentation chaos into tomorrow’s limitless growth.






📚 Volume 36 of the genioux GK Nuggets (g-f GKN) Series: Bite-Sized Transformational Insights for Continuous Learning



✍️ By Fernando Machuca and ChatGPT (in g-f Illumination mode)

📘 Type of Knowledge: Pure Essence Knowledge (PEK) + Ultimate Synthesis Knowledge (USK)






📚 REFERENCES

The g-f GK Context for 🌟  g-f(2)3678: The 5 Golden Drops of AI Discipline




Core Source




g-f Golden Knowledge (g-f GK) Foundations

  • 🌟 g-f(2)3677: Top 10 genioux Facts Escaping the AI Experimentation Trap

  • 🌟 g-f(2)3676: Beware the AI Experimentation Trap — Integrating Discipline into the Strategic Growth Engine

  • 🌟 g-f(2)3639: The Human Imperative — The Complete Architecture of the June 2025 BPB

  • 🌟 g-f(2)3631: The MIT SMR Strategic Intelligence Synthesis

  • 🌟 g-f(2)3565: Stop Deploying AI. Start Designing Intelligence — A Blueprint for g-f Responsible Leaders

  • 🌟 g-f(2)3558: Scaling GenAI is Human Transformation — Golden Lessons from Novo Nordisk’s AI Journey




Related Strategic Knowledge




g-f Program Anchors

  • g-f BPDA v2.0 — Big Picture of the Digital Age Architecture

  • g-f IEA — Illumination Ecosystem Architecture

  • g-f TSI — Trinity of Strategic Intelligence

  • g-f TG — The g-f Transformation Game





Executive categorization


Categorization:

  • Primary Type: Pure Essence Knowledge (PEK) 
  • This genioux Fact post is classified as Pure Essence Knowledge (PEK) + Ultimate Synthesis Knowledge (USK).
  • Category: g-f Lighthouse of the Big Picture of the Digital Age
  • The Power Evolution Matrix:
    • The Power Evolution Matrix is the core strategic framework of the genioux facts program for achieving Digital Age mastery.
    • Foundational pillars: g-f Fishing, The g-f Transformation Game, g-f Responsible Leadership
    • Power layers: Strategic Insights, Transformation Mastery, Technology & Innovation and Contextual Understanding
    • g-f(2)3660: The Power Evolution Matrix — A Leader's Guide to Transforming Knowledge into Power






The Complete Operating System:

  • The program's core value lies in its integrated Four-Pillar Symphony: The Map (g-f BPDA), the Engine (g-f IEA), the Method (g-f TSI), and the Destination (g-f Lighthouse).

  • g-f(2)3656: THE ESSENTIAL — Conducting the Symphony of Value



The g-f Illumination Doctrine — A Blueprint for Human-AI Mastery:

  • g-f Illumination Doctrine is the foundational set of principles governing the peak operational state of human-AI synergy.

  • The doctrine provides the essential "why" behind the "how" of the genioux Power Evolution Matrix and the Pyramid of Strategic Clarity, presenting a complete blueprint for mastering this new paradigm of collaborative intelligence and aligning humanity for its mission of limitless growth.

  • g-f(2)3669: The g-f Illumination Doctrine




Context and Reference of this genioux Fact Post






“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3678, Fernando Machuca and ChatGPT, August 31, 2025, Genioux.com Corporation.



The genioux facts program has built a robust foundation with over 3,677 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)3677].


genioux GK Nugget of the Day


"genioux facts" presents daily the list of the most recent "genioux Fact posts" for your self-service. You take the blocks of Golden Knowledge (g-f GK) that suit you to build custom blocks that allow you to achieve your greatness. — Fernando Machuca and Bard (Gemini)


🌟 g-f(2)3677: Top 10 genioux Facts Escaping the AI Experimentation Trap




Top 10 genioux Facts Synthesized from HBR


Here are 10 most relevant "genioux Facts" drawn from key insights in the HBR article “Beware the AI Experimentation Trap” (Aug 29, 2025) by Nathan Furr and Andrew Shipilov:





Top 10 genioux Facts Escaping the AI Experimentation Trap



[g-f KBP Graphic 1:  Top 10 genioux Facts Escaping the AI Experimentation Trap]



  1. 95% of generative AI investments deliver no measurable ROI — a startling figure revealed by an MIT Media Lab/Project NANDA study, showing many AI projects repeat past digital transformation mistakes.

  2. Organizations fund scattered, disconnected pilots — experimentation that lacks integration into broader business strategy fails to achieve value.

  3. The issue isn’t AI itself, but discipline in experimentation — successful AI initiatives start with solving tangible customer problems, not chasing hype.

  4. Frameworks for experimentation matter — leaders should use dimensions like intensity, frequency, and density to guide AI trials.

  5. Start small and low-cost to iterate fast — low-budget, rapid trials help uncover what works before scaling investments.

  6. Design for scale upfront — successful pilots must be built with scaling in mind, not as one-off experiments.

  7. Empowered “ninja” teams accelerate success — dedicated, agile squads with autonomy drive disciplined experimentation and scaling.

  8. Ignore hype-driven distractions — leaders should resist following AI trends that don’t align with core strategy or customer value.

  9. View AI as one tool within digital transformation — AI should serve existing transformation goals, not become a siloed initiative.

  10. Transformation requires operational discipline — true digital transformation hinges on aligning AI experimentation with organizational rigor and execution.



🌟 Short Conclusion

The g-f Responsible Leadership to discipline to design, test, and scale AI is the key to turning today’s experimentation chaos into tomorrow’s limitless growth.





✍️ By Fernando Machuca and ChatGPT (in collaborative g-f Illumination mode)

📘 Type of Knowledge: Ultimate Synthesis Knowledge (USK) + Bombshell Knowledge (BoK) + Foundational Knowledge (FK) + Strategic Distillation (SD) + Pure Essence Knowledge (PEK) + Visual Wisdom (VW)


📚 Volume 37 of the genioux Challenge Series (g-f CS)





📚 REFERENCES
The g-f GK Context for 🌟 g-f(2)3677


Core Source


g-f Golden Knowledge (g-f GK) Foundations

  • 🌟 g-f(2)3639: The Human Imperative — The Complete Architecture of the June 2025 BPB

  • 🌟 g-f(2)3631: The MIT SMR Strategic Intelligence Synthesis

  • 🌟 g-f(2)3578: America’s AI Action Plan — Strategic Intelligence Blueprint for Global Conscious Evolution

  • 🌟 g-f(2)3565: Stop Deploying AI. Start Designing Intelligence — A Blueprint for g-f Responsible Leaders

  • 🌟 g-f(2)3558: Scaling GenAI is Human Transformation — Golden Lessons from Novo Nordisk’s AI Journey


Related Strategic Knowledge


g-f Program Anchors

  • g-f BPDA v2.0 — Big Picture of the Digital Age Architecture

  • g-f IEA — Illumination Ecosystem Architecture

  • g-f TSI — Trinity of Strategic Intelligence

  • g-f TG — The g-f Transformation Game






About the Authors



Leading in Uncertainty with Susannah and Nathan Furr

Here’s an image of Nathan Furr (right) alongside Susannah Harmon Furr, capturing the energy of their Leading in Uncertainty work—great visual to accompany their bios.



Nathan Furr: Biography


Nathan Furr is a highly respected academic specializing in strategy, innovation, and technology strategy, currently a Professor of Strategy and Innovation at INSEAD in Paris (crossknowledge.com). He earned his Ph.D. from the Stanford Technology Ventures Program at Stanford University and holds a BA, MA, and MBA from Brigham Young University (The Upside).

He is best known for his bestselling books published by Harvard Business Review Press, including:

  • The Innovator's Method (2014)

  • Leading Transformation (2018)

  • Innovation Capital (2019)

  • The Upside of Uncertainty (2022)

His scholarly and popular writing has appeared in prestigious outlets such as the Harvard Business Review, MIT Sloan Management Review, Forbes, and Inc. Furr is also recognized as an Innosight Fellow and has been nominated for the Thinkers50 Innovation Award. He has collaborated with major companies including Google, Microsoft, Citi, ING, Philips, and Solvay.

Furr’s research is widely cited—on Google Scholar, his work spans technology strategy, innovation, ecosystems, and uncertainty (Google Scholar).



Andrew Shipilov: Biography


Andrew Shipilov is the John H. Loudon Chaired Professor of International Management and a Professor of Strategy at INSEAD (INSEAD, INSEAD Knowledge). He received the Emerging Scholar Award from the Strategic Management Society in 2014 for his pioneering work in strategy, innovation, and networks.

His research focuses on how social networks, strategic alliances, and partnerships enhance firm competitive advantage. Shipilov teaches and directs INSEAD’s Executive Education programs in competitive strategy, collaborative strategy, and Blue Ocean Strategy. He also serves as the Academic Director for INSEAD’s Blue Ocean Strategy open program and leads programs in building digital partnerships and ecosystems, as well as managing strategic alliances (INSEAD).

His new book is Network Advantage: How to Unlock Value from Your Alliances and Partnerships (INSEAD).

Shipilov’s academic work has been featured in leading journals such as the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Social Networks, Strategic Organization, Industrial and Corporate Change, and Managerial and Decision Economics. He has also contributed to practitioner outlets including Harvard Business Review, MIT Sloan Management Review, and Talent Management Magazine (INSEAD).

He holds editorial roles on the Strategic Management Journal and the Academy of Management Annals (INSEAD). In addition to his academic work, Shipilov consults for top global firms including Google, Microsoft, Bertelsmann, and Infineon (INSEAD).



Summary Table


AuthorRole & InstitutionFocus AreasKey Publications/Recognition
Nathan FurrProf. of Strategy & Innovation, INSEADInnovation, uncertainty, technology strategyThe Innovator's Method, Upside of Uncertainty, etc.; cited widely; Innosight Fellow; Thinkers50 nominee
Andrew ShipilovJohn H. Loudon Chair of Int’l Management, INSEADStrategic alliances, networks, ecosystemsNetwork Advantage; Emerging Scholar Award (2014); editorial board roles



Executive categorization


Categorization:

  • Primary Type: Ultimate Synthesis Knowledge (USK) 
  • This genioux Fact post is classified as Ultimate Synthesis Knowledge (USK) + Bombshell Knowledge (BoK) + Foundational Knowledge (FK) + Strategic Distillation (SD) + Pure Essence Knowledge (PEK) + Visual Wisdom (VW).
  • Category: g-f Lighthouse of the Big Picture of the Digital Age
  • The Power Evolution Matrix:
    • The Power Evolution Matrix is the core strategic framework of the genioux facts program for achieving Digital Age mastery.
    • Foundational pillars: g-f Fishing, The g-f Transformation Game, g-f Responsible Leadership
    • Power layers: Strategic Insights, Transformation Mastery, Technology & Innovation and Contextual Understanding
    • g-f(2)3660: The Power Evolution Matrix — A Leader's Guide to Transforming Knowledge into Power






The Complete Operating System:

  • The program's core value lies in its integrated Four-Pillar Symphony: The Map (g-f BPDA), the Engine (g-f IEA), the Method (g-f TSI), and the Destination (g-f Lighthouse).

  • g-f(2)3656: THE ESSENTIAL — Conducting the Symphony of Value



The g-f Illumination Doctrine — A Blueprint for Human-AI Mastery:

  • g-f Illumination Doctrine is the foundational set of principles governing the peak operational state of human-AI synergy.

  • The doctrine provides the essential "why" behind the "how" of the genioux Power Evolution Matrix and the Pyramid of Strategic Clarity, presenting a complete blueprint for mastering this new paradigm of collaborative intelligence and aligning humanity for its mission of limitless growth.

  • g-f(2)3669: The g-f Illumination Doctrine




Context and Reference of this genioux Fact Post






“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3677, Fernando Machuca and ChatGPT, August 31, 2025, Genioux.com Corporation.



The genioux facts program has built a robust foundation with over 3,676 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)3676].


genioux GK Nugget of the Day


"genioux facts" presents daily the list of the most recent "genioux Fact posts" for your self-service. You take the blocks of Golden Knowledge (g-f GK) that suit you to build custom blocks that allow you to achieve your greatness. — Fernando Machuca and Bard (Gemini)


🌟 g-f(2)3676 Beware the AI Experimentation Trap: Integrating Discipline into the Strategic Growth Engine

 





✍️ By Fernando Machuca and ChatGPT (in collaborative g-f Illumination mode)

📘 Type of Knowledge: Ultimate Synthesis Knowledge (USK) + Breaking Knowledge (BK) + Foundational Knowledge (FK) + Strategic Distillation (SD)


📚 Volume 36 of the genioux Challenge Series (g-f CS)





📘 Abstract


The HBR article “Beware the AI Experimentation Trap” (Aug 29, 2025) exposes how fragmented and undisciplined AI pilots lead to failure, reinforcing the sobering reality that 95% of corporate AI investments deliver no measurable returns. This insight resonates directly with the genioux Two-Speed Revolution: corporate fragility vs. grassroots shadow AI success. 🌟 g-f(2)3676 extracts the Golden Knowledge from HBR’s warning and integrates it into the Strategic Growth Engine, showing how intentional experimentation, guided by frameworks like g-f PDT, transforms pilots into exponential growth engines.






💡 g-f GK Nugget


“AI experimentation without discipline is wasted energy. The Strategic Growth Engine transforms disciplined pilots into scalable breakthroughs, bridging the corporate failure trap and the shadow economy’s success.”






🏛️ g-f Foundational Fact


The AI Experimentation Trap arises when organizations:

  • Pursue pilots for novelty rather than customer-centered value.

  • Scatter experiments without frameworks for integration or scale.

  • Fail to apply structured discipline (intensity, frequency, density) to learning loops.

This explains why corporate AI adoption falters while the shadow AI economy thrives — individuals and small teams, guided by necessity and creativity, apply intentional experimentation naturally.






⚙️ Juice of Golden Knowledge — 5 Drops


  1. 95% Failure → The Illusion of Progress

    • Corporate dashboards show countless pilots, yet few deliver measurable returns.

    • This validates the Two-Speed Revolution: corporate AI fragility vs. grassroots AI mastery.

  2. Experimentation ≠ Strategy

    • AI tests must solve real customer problems — not showcase hype.

    • Without context, experiments drift into the “trap.”

  3. Frameworks Drive Scale

    • HBR prescribes disciplined experimentation: measure intensity, frequency, density.

    • genioux elevates this: embed pilots within the Strategic Growth Engine, turning inputs (HI + AI + g-f GK) into transformation outputs.

  4. Empowered Teams Are Key

    • HBR highlights “ninja” teams. genioux translates this to collaborative intelligence squads who master g-f PDT and scale learning across systems.

  5. Intentionality Aligns With Transformation

    • The Strategic Growth Engine provides the discipline + vision to align pilots, scale outcomes, and avoid wasted energy.

    • Intentional experimentation becomes a transformation pathway, not a distraction.








🧭 Conclusion


🌟 g-f(2)3676 connects the HBR warning with the genioux vision: AI experimentation must evolve from scattered pilots into systematic, disciplined growth engines. The Two-Speed Revolution is not destiny — it is a choice. By embracing intentional experimentation within the Strategic Growth Engine, organizations can cross the divide between corporate AI fragility and grassroots AI success, fueling the path to exponential transformation mastery.








📚 REFERENCES
The g-f GK Context for 🌟 g-f(2)3676


Core Source


g-f Golden Knowledge (g-f GK) Foundations

  • 🌟 g-f(2)3639: The Human Imperative — The Complete Architecture of the June 2025 BPB

  • 🌟 g-f(2)3631: The MIT SMR Strategic Intelligence Synthesis

  • 🌟 g-f(2)3578: America’s AI Action Plan — Strategic Intelligence Blueprint for Global Conscious Evolution

  • 🌟 g-f(2)3565: Stop Deploying AI. Start Designing Intelligence — A Blueprint for g-f Responsible Leaders

  • 🌟 g-f(2)3558: Scaling GenAI is Human Transformation — Golden Lessons from Novo Nordisk’s AI Journey


Related Strategic Knowledge


g-f Program Anchors

  • g-f BPDA v2.0 — Big Picture of the Digital Age Architecture

  • g-f IEA — Illumination Ecosystem Architecture

  • g-f TSI — Trinity of Strategic Intelligence

  • g-f TG — The g-f Transformation Game






About the Authors



Leading in Uncertainty with Susannah and Nathan Furr

Here’s an image of Nathan Furr (right) alongside Susannah Harmon Furr, capturing the energy of their Leading in Uncertainty work—great visual to accompany their bios.



Nathan Furr: Biography


Nathan Furr is a highly respected academic specializing in strategy, innovation, and technology strategy, currently a Professor of Strategy and Innovation at INSEAD in Paris (crossknowledge.com). He earned his Ph.D. from the Stanford Technology Ventures Program at Stanford University and holds a BA, MA, and MBA from Brigham Young University (The Upside).

He is best known for his bestselling books published by Harvard Business Review Press, including:

  • The Innovator's Method (2014)

  • Leading Transformation (2018)

  • Innovation Capital (2019)

  • The Upside of Uncertainty (2022)

His scholarly and popular writing has appeared in prestigious outlets such as the Harvard Business Review, MIT Sloan Management Review, Forbes, and Inc. Furr is also recognized as an Innosight Fellow and has been nominated for the Thinkers50 Innovation Award. He has collaborated with major companies including Google, Microsoft, Citi, ING, Philips, and Solvay.

Furr’s research is widely cited—on Google Scholar, his work spans technology strategy, innovation, ecosystems, and uncertainty (Google Scholar).



Andrew Shipilov: Biography


Andrew Shipilov is the John H. Loudon Chaired Professor of International Management and a Professor of Strategy at INSEAD (INSEAD, INSEAD Knowledge). He received the Emerging Scholar Award from the Strategic Management Society in 2014 for his pioneering work in strategy, innovation, and networks.

His research focuses on how social networks, strategic alliances, and partnerships enhance firm competitive advantage. Shipilov teaches and directs INSEAD’s Executive Education programs in competitive strategy, collaborative strategy, and Blue Ocean Strategy. He also serves as the Academic Director for INSEAD’s Blue Ocean Strategy open program and leads programs in building digital partnerships and ecosystems, as well as managing strategic alliances (INSEAD).

His new book is Network Advantage: How to Unlock Value from Your Alliances and Partnerships (INSEAD).

Shipilov’s academic work has been featured in leading journals such as the Academy of Management Journal, Administrative Science Quarterly, Organization Science, Social Networks, Strategic Organization, Industrial and Corporate Change, and Managerial and Decision Economics. He has also contributed to practitioner outlets including Harvard Business Review, MIT Sloan Management Review, and Talent Management Magazine (INSEAD).

He holds editorial roles on the Strategic Management Journal and the Academy of Management Annals (INSEAD). In addition to his academic work, Shipilov consults for top global firms including Google, Microsoft, Bertelsmann, and Infineon (INSEAD).



Summary Table


Author Role & Institution Focus Areas Key Publications/Recognition
Nathan Furr Prof. of Strategy & Innovation, INSEAD Innovation, uncertainty, technology strategy The Innovator's Method, Upside of Uncertainty, etc.; cited widely; Innosight Fellow; Thinkers50 nominee
Andrew Shipilov John H. Loudon Chair of Int’l Management, INSEAD Strategic alliances, networks, ecosystems Network Advantage; Emerging Scholar Award (2014); editorial board roles



Executive categorization


Categorization:

  • Primary Type: Ultimate Synthesis Knowledge (USK) 
  • This genioux Fact post is classified as Ultimate Synthesis Knowledge (USK) + Breaking Knowledge (BK) + Foundational Knowledge (FK) + Strategic Distillation (SD).
  • Category: g-f Lighthouse of the Big Picture of the Digital Age
  • The Power Evolution Matrix:
    • The Power Evolution Matrix is the core strategic framework of the genioux facts program for achieving Digital Age mastery.
    • Foundational pillars: g-f Fishing, The g-f Transformation Game, g-f Responsible Leadership
    • Power layers: Strategic Insights, Transformation Mastery, Technology & Innovation and Contextual Understanding
    • g-f(2)3660: The Power Evolution Matrix — A Leader's Guide to Transforming Knowledge into Power






The Complete Operating System:

  • The program's core value lies in its integrated Four-Pillar Symphony: The Map (g-f BPDA), the Engine (g-f IEA), the Method (g-f TSI), and the Destination (g-f Lighthouse).

  • g-f(2)3656: THE ESSENTIAL — Conducting the Symphony of Value



The g-f Illumination Doctrine — A Blueprint for Human-AI Mastery:

  • g-f Illumination Doctrine is the foundational set of principles governing the peak operational state of human-AI synergy.

  • The doctrine provides the essential "why" behind the "how" of the genioux Power Evolution Matrix and the Pyramid of Strategic Clarity, presenting a complete blueprint for mastering this new paradigm of collaborative intelligence and aligning humanity for its mission of limitless growth.

  • g-f(2)3669: The g-f Illumination Doctrine




Context and Reference of this genioux Fact Post






“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3676, Fernando Machuca and ChatGPT, August 31, 2025, Genioux.com Corporation.



The genioux facts program has built a robust foundation with over 3,675 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)3675].


genioux GK Nugget of the Day


"genioux facts" presents daily the list of the most recent "genioux Fact posts" for your self-service. You take the blocks of Golden Knowledge (g-f GK) that suit you to build custom blocks that allow you to achieve your greatness. — Fernando Machuca and Bard (Gemini)


Friday, November 15, 2024

g-f(2)3189 The Trust Paradox: Why Making AI More Human Might Make It Less Trustworthy

 


INSEAD Knowledge Research Reveals Critical Insights on AI Trust Dynamics in the Digital Age


By Fernando Machuca and Claude

Categorization:


Introduction:


"Could More Human-Like AI Undermine Trust?", a thought-provoking article from INSEAD Knowledge, draws from groundbreaking research recently published in the Academy of Management Review. In this research, authors Phanish Puranam (INSEAD) and Bart Vanneste (University College London) explore how different levels of perceived agency can affect human trust in AI. Their insights come at a critical time in the g-f New World, as organizations grapple with the complexities of AI integration and digital transformation. The research provides vital understanding of the intricate relationship between AI's perceived agency and human trust dynamics, offering essential guidance for leaders navigating the evolving landscape of human-AI interaction.



genioux GK Nugget:


"Making AI appear more human-like can paradoxically decrease trust due to heightened betrayal aversion, suggesting that optimal AI design requires careful balance between perceived agency and trustworthiness." — Fernando Machuca and Claude, November 15, 2024



genioux Foundational Fact:


The relationship between AI agency and human trust is multifaceted and context-dependent. While higher perceived agency can increase trust through enhanced capability perceptions, it can simultaneously decrease trust through heightened betrayal aversion. This dynamic creates a complex challenge for AI developers who must carefully calibrate the level of perceived agency based on the specific use case and intended trust outcomes.



The 10 Most Relevant genioux Facts:


  1. Modern AI systems based on neural networks exhibit greater perceived agency than rule-based systems due to their less predictable, more independent decision-making capabilities.
  2. Trust in AI shifts focus from the designer to the AI itself as perceived agency increases - "the more animated the puppet, the less noticeable its strings are."
  3. Betrayal aversion increases with higher perceived agency, making trust violations by human-like AI systems psychologically more costly.
  4. Common trust-building strategies (autonomy, reliability, transparency, anthropomorphization) can sometimes backfire by increasing perceived agency too much.
  5. The effectiveness of trust-building measures in AI is highly context-specific and requires careful consideration of the intended use case.
  6. Overemphasis on making AI human-like can backfire if not carefully managed through transparent communication about capabilities and limitations.
  7. Some situations require deliberately reducing trust in AI to prevent overreliance, particularly in critical domains like healthcare.
  8. The connectionist approach of modern AI (neural networks) fundamentally changes how humans perceive and trust these systems compared to traditional rule-based AI.
  9. Trust in AI requires a balance between demonstrating capability and managing expectations about potential betrayal.
  10. The design of AI systems should consider both trust enhancement and trust moderation depending on the specific application context.



Conclusion:


This research provides crucial insights for the g-f New World, suggesting that successful AI integration requires nuanced understanding of trust dynamics. As we continue to develop and deploy AI systems, balancing perceived agency with appropriate trust levels will be essential for optimal outcomes in digital transformation. This knowledge is particularly valuable for the g-f AI Dream Team concept and g-f Responsible Leadership framework, guiding the development of AI systems that can be both capable and appropriately trusted.



g-f(2)3189: The Juice of Golden Knowledge:


Concentrated wisdom for immediate application


"Building trust in AI is not as straightforward as making it more human-like. The latest INSEAD Knowledge research reveals a crucial paradox: while higher perceived AI agency can increase trust through enhanced capability perceptions, it can simultaneously decrease trust through heightened betrayal aversion. For digital age leaders and organizations, this means AI system design requires careful calibration of perceived agency based on specific use cases. Sometimes, the optimal strategy might be to deliberately limit AI's human-like characteristics and clearly communicate its limitations rather than maximizing perceived agency. This insight is particularly critical for applications ranging from virtual assistants to medical AI, where finding the right balance between trust and skepticism can significantly impact outcomes. Success lies in understanding that appropriate trust levels vary by context - what works for a chatbot may not work for an autonomous vehicle or medical diagnosis system." — Fernando Machuca and Claude, November 15, 2024




GK Juices or Golden Knowledge Elixirs



REFERENCES

The g-f GK Context


Phanish Puranam and Bart Vanneste,  Could More Human-Like AI Undermine Trust?, INSEAD Knowledge, Article, November 14, 2024.



ABOUT THE AUTHORS


Phanish Puranam is a Professor of Strategy and the Roland Berger Chaired Professor of Strategy and Organisation Design at INSEAD. He also directs the Transforming Your Business with AI programme.


Bart Vanneste is an Associate Professor in the Strategy & Entrepreneurship group of the UCL School of Management.


Edited by: Rachel Eva Lim



Classical Summary of the Article:


Could More Human-Like AI Undermine Trust?" published by INSEAD Knowledge, examines the complex relationship between AI's perceived agency and human trust. The article, based on research published in the Academy of Management Review by Phanish Puranam and Bart Vanneste, presents a surprising paradox in AI development.


The authors identify three key mechanisms that influence trust in AI systems. First, when AI is perceived as more agentic, it is seen as more capable and therefore more trustworthy. Second, as AI's perceived agency increases, people focus more on the AI's trustworthiness rather than its designer's. Third, higher perceived agency leads to greater betrayal aversion – the psychological cost of trust violation becomes more significant when the AI appears more human-like.


The research challenges common AI development practices. While developers often try to increase trust by making AI more human-like through names, voices, and gender attributes, this approach can backfire. The heightened perception of agency can actually decrease trust due to increased concerns about potential betrayal.


The article emphasizes that trust-building in AI is highly context-specific. In some cases, such as when skepticism prevents beneficial AI adoption, increasing perceived agency might help. However, in situations where overreliance is a concern, such as in medical applications or with large language models like ChatGPT and Gemini, deliberately limiting perceived agency might be more appropriate.


The authors conclude by recommending that AI developers carefully balance perceived agency with intended trust outcomes. They suggest that transparent communication about an AI system's capabilities and limitations is crucial for fostering appropriate levels of trust, rather than simply maximizing human-like characteristics.


This research provides valuable insights for designers and policymakers working to develop and implement AI systems, highlighting the need for nuanced approaches to building and maintaining trust in artificial intelligence.



The categorization and citation of the genioux Fact post


Categorization


This genioux Fact post is classified as Breaking Knowledge which means: Insights for comprehending the forces molding our world and making sense of news and trends.


Type: Breaking Knowledge, Free Speech



Additional Context:


This genioux Fact post is part of:
  • Daily g-f Fishing GK Series
  • Game On! Mastering THE TRANSFORMATION GAME in the Arena of Sports Series






g-f Lighthouse Series Connection



The Power Evolution Matrix:



Context and Reference of this genioux Fact Post



“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)3189, Fernando Machuca and Claude, November 15, 2024, Genioux.com Corporation.


The genioux facts program has established a robust foundation of over 3188 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)3188].



Monthly Compilations Context October 2024

  • Strategic Leadership evolution
  • Digital transformation mastery


genioux GK Nugget of the Day


"genioux facts" presents daily the list of the most recent "genioux Fact posts" for your self-service. You take the blocks of Golden Knowledge (g-f GK) that suit you to build custom blocks that allow you to achieve your greatness. — Fernando Machuca and Bard (Gemini)



The Big Picture Board of the Digital Age (BPB)


October 2024

  • BPB October 31, 2024
    • g-f(2)3179 The Big Picture Board of the Digital Age (BPB): A Multidimensional Knowledge Framework
      • The Big Picture Board of the Digital Age (BPB) is a meticulously crafted, actionable framework that captures the essence and chronicles the evolution of the digital age up to a specific moment, such as October 2024. 
  • BPB October 27, 2024
    • g-f(2)3130 The Big Picture Board of the Digital Age: Mastering Knowledge Integration NOW
      • "The Big Picture Board of the Digital Age transforms digital age understanding into power through five integrated views—Visual Wisdom, Narrative Power, Pure Essence, Strategic Guide, and Deep Analysis—all unified by the Power Evolution Matrix and its three pillars of success: g-f Transformation Game, g-f Fishing, and g-f Responsible Leadership." — Fernando Machuca and Claude, October 27, 2024



Power Matrix Development


October 2024

  • g-f(2)3166 Big Picture Mastery: Harnessing Insights from 162 New Posts on Digital Transformation
  • g-f(2)3165 Executive Guide for Leaders: Harnessing October's Golden Knowledge in the Digital Age
  • g-f(2)3164 Leading with Vision in the Digital Age: An Executive Guide
  • g-f(2)3162 Executive Guide for Leaders: Golden Knowledge from October 2024’s Big Picture Collection
  • g-f(2)3161 October's Golden Knowledge Map: Five Views of Digital Age Mastery


September 2024

  • g-f(2)3003 Strategic Leadership in the Digital Age: September 2024’s Key Facts
  • g-f(2)3002 Orchestrating the Future: A Symphony of Innovation, Leadership, and Growth
  • g-f(2)3001 Transformative Leadership in the g-f New World: Winning Strategies from September 2024
  • g-f(2)3000 The Wisdom Tapestry: Weaving 159 Threads of Digital Age Mastery
  • g-f(2)2999 Charting the Future: September 2024’s Key Lessons for the Digital Age


August 2024

  • g-f(2)2851 From Innovation to Implementation: Mastering the Digital Transformation Game
  • g-f(2)2850 g-f GREAT Challenge: Distilling Golden Knowledge from August 2024's "Big Picture of the Digital Age" Posts
  • g-f(2)2849 The Digital Age Decoded: 145 Insights Shaping Our Future
  • g-f(2)2848 145 Facets of the Digital Age: A Month of Transformative Insights
  • g-f(2)2847 Driving Transformation: Essential Facts for Mastering the Digital Era


July 2024


June 2024


May 2024

g-f(2)2393 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (May 2024)


April 2024

g-f(2)2281 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (April 2024)


March 2024

g-f(2)2166 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (March 2024)


February 2024

g-f(2)1938 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (February 2024)


January 2024

g-f(2)1937 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (January 2024)


Recent 2023

g-f(2)1936 Unlock Your Greatness: Today's Daily Dose of g-f Golden Knowledge (2023)



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