Friday, November 17, 2023

g-f(2)1602 From AI Principles to Practice: Unilever's Path to Ethical AI

 

Lighthouse of the Big Picture of the Digital Age


genioux Fact post by Fernando MachucaClaude and Bing Chatbot


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Introduction:


This article by Thomas Davenport and Randy Bean provides an insightful look at Unilever's journey in implementing AI ethics, highlighting their multi-stage approach from developing policies to reviewing each use case. Let's unpack the golden nuggets from Unilever's valuable experience.


Lighthouse of the Big Picture of the Digital Age


genioux GK Nugget:


"A robust AI ethics process requires evolving from principles to practice through gathering data on use cases, systematic reviews, and actions aligned to human-centered values." — Fernando Machuca and Claude



genioux Foundational Fact:


Unilever demonstrates that realizing ethical AI necessitates going beyond broad policies to implement governance processes assessing risk, bias, fairness and efficacy per use case. This enables appropriate mitigation and rejection of unacceptable applications.



10 Key genioux Facts:


Lighthouse of the Big Picture of the Digital Age


  1. Most companies are still in the early policy stages of addressing ethical AI and lack review processes.
  2. Unilever built on its privacy, security and governance foundations to embed responsible AI principles.
  3. Policies stating values are insufficient - the ability to evaluate specific use cases is crucial.
  4. Unilever coined "AI assurance" covering both ethics and efficacy risks for holistic assessment.
  5. A structured process examines each use case's risks and compliance with standards.
  6. Unilever partners with Holistic AI to manage assessments using a platform coding projects' risk levels.
  7. Machine learning models are automatically checked for biases against groups.
  8. Few use cases have received the highest risk rating; most issues are resolvable.
  9. Benchmarking and insurance products are envisioned to further maturity.
  10. Reviewing every use case is the only way to ensure alignment with human well-being.


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Conclusion:


Unilever provides a blueprint for realizing ethical AI through comprehensive evaluation of each application's risks and merits. This elevates policies into action, upholding human-centered values.



REFERENCES

The GK Article


Thomas H. Davenport and Randy Bean, AI Ethics at Unilever: From Policy to Process, MIT Sloan Management Review, November 15, 2023.



ABOUT THE AUTHORS


Thomas H. Davenport (@tdav) is the President’s Distinguished Professor of Information Technology and Management at Babson College, a visiting professor at Oxford’s Saïd Business School, and a fellow of the MIT Initiative on the Digital Economy. He is coauthor of Working With AI: Real Stories of Human-Machine Collaboration (MIT Press, 2022). Randy Bean (@randybeannvp) is an industry thought leader, author, founder, and CEO and currently serves as innovation fellow, data strategy, for global consultancy Wavestone. He is the author of Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI (Wiley, 2021).



Thomas H. Davenport


Thomas H. Davenport is a distinguished American academic and author specializing in the fields of analytics, business process innovation, knowledge management, and artificial intelligence¹. He holds the position of President’s Distinguished Professor of Information Technology and Management at Babson College¹². 


In addition to his role at Babson College, Davenport is a Fellow of the MIT Initiative on the Digital Economy, Co-founder of the International Institute for Analytics, and a Senior Advisor to Deloitte Analytics¹². 


Davenport has made significant contributions to the field of information technology and management through his numerous books and articles. His work has been published in esteemed publications such as the Harvard Business Review, MIT Sloan Management Review, and the Financial Times¹. 


His pioneering work on "competing on analytics" has provided valuable guidelines for basing competitive strategies on the analysis of business data¹. Davenport's insights continue to shape how companies leverage analytics, big data, and artificial intelligence to their advantage¹².


Source: Conversation with Bing, 11/17/2023

(1) Thomas H. Davenport - Wikipedia. https://en.wikipedia.org/wiki/Thomas_H._Davenport.

(2) About - Tom Davenport. https://www.tomdavenport.com/about/.

(3) Thomas H. Davenport - Wikiquote. https://en.wikiquote.org/wiki/Thomas_H._Davenport.

(4) 토머스 H. 데이븐포트 - 위키백과, 우리 모두의 백과사전. https://ko.wikipedia.org/wiki/%ED%86%A0%EB%A8%B8%EC%8A%A4_H._%EB%8D%B0%EC%9D%B4%EB%B8%90%ED%8F%AC%ED%8A%B8.

(5) Thomas H. Davenport – Wikipédia, a enciclopédia livre. https://pt.wikipedia.org/wiki/Thomas_H._Davenport.


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Randy Bean


Randy Bean is a recognized industry thought leader, author, founder, and CEO, known for his contributions to the field of data-driven leadership in an era of disruption, big data, and AI³. He currently serves as an Innovation Fellow, Data Strategy, for the global consultancy Wavestone³. 


In addition to his leadership roles, Bean is also a prolific writer. He is the author of "Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI" and contributes to several prestigious publications, including the Harvard Business Review, Forbes, and MIT Sloan Management Review³. 


His insights and expertise have made him a sought-after voice in the industry, helping organizations navigate the complexities of data strategy and digital transformation³.


Source: Conversation with Bing, 11/17/2023

(1) Randy Bean - Forbes. https://www.forbes.com/sites/randybean/.

(2) Obituary: Randy Bean | AspenTimes.com. https://www.aspentimes.com/obituaries/obituary-randy-bean/.

(3) Palo Alto Online - Lasting Memories - Randy Bean's memorial. https://www.paloaltoonline.com/obituaries/memorials/randy-bean?o=6473.



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g-f(2)1580 GK Elixirs Unveiled: Navigating the New World of genioux Wisdom


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Lighthouse of the Big Picture of the Digital


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Source: Conversation with Bing, 11/17/2023

(1) g-f New World - Genioux.com Corporation. https://gnxc.com/g-f-new-world.

(2) g-f(2)942 THE NEW WORLD (2/16/2022), The Story of the New World in a “g .... https://blog.geniouxfacts.com/2022/02/g-f2942-new-world-2162022-story-of-new.html.

(3) g-f(2)1257 The Lighthouse of the New World g-f: A Wonderful World .... https://blog.geniouxfacts.com/2023/08/g-f21257-lighthouse-of-new-world-g-f.html.

(4) Home [gnxc.com]. https://gnxc.com/home.



The categorization and citation of the genioux Fact post


Categorization


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



Type: Breaking Knowledge, Free Speech


g-f(2)1602: The Juice of Golden Knowledge



GK Juices or Golden Knowledge Elixirs


References


genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1602, Fernando MachucaClaude and Bing Chatbot,  November 17, 2023, Genioux.com Corporation.


The genioux facts program has established a robust foundation of over 1601 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)1601].



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