Tuesday, October 17, 2023

g-f(2)1465 A Leader's Guide to Harnessing Generative AI Responsibly

 

genioux Fact post by Fernando MachucaClaude and Bing Chatbot


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Introduction (By Fernando):


Navigating the tumultuous digital landscape at an accelerated pace, the journey towards progress in the g-f New World requires golden knowledge (GK) as a beacon, illuminating the path for humanity to comprehend and unlock its boundless potential [g-f(2)1 - g-f(2)1464]. In this genioux Fact post, I harness the exceptional abilities of Claude and Bing Chatbot as GK extractors, each contributing their unique insights in different parts of the post.


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Introduction:


This post examines how business leaders can strategically adopt generative AI to augment human potential while proactively addressing risks.



genioux GK Nugget:


"With visionary leadership, prudent oversight and a commitment to human-centric values, generative AI can usher in an era of enlightened productivity." — Fernando and Claude


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genioux Foundational Fact:


This article provides timely guidance for capitalizing on generative AI's immense potential while proactively addressing risks through governance, accountability and responsible adoption.



10 genioux Facts:


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  1. As a breakthrough technology, generative AI will rapidly transform tasks and competition across sectors.
  2. Leaders should assess knowledge work roles to identify the most promising opportunities for performance gains.
  3. Generative AI can either replace human work or boost productivity and creativity depending on the application.
  4. A measured approach involves starting with narrow use cases before reengineering processes.
  5. Multimodal models and human oversight help reduce generative AI's risk of confabulating information.
  6. Privacy and security should be addressed proactively through access controls and governance.
  7. Continual bias monitoring and prompt engineering are imperative to ensure ethical usage.
  8. Agile, experimental methodology enables rapid learning and acceleration of benefits.
  9. Accountability at all levels is key to upholding ethical AI principles.
  10. Investing in responsible best practices will yield a competitive advantage.



Conclusion:


Generative AI presents a defining opportunity for strategic leaders to responsibly guide its transformational impact toward augmenting human potential. Companies that lead the way in ethical adoption and governance will propel progress while upholding their principles.



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REFERENCE

The GK article



Andrew McAfee


Andrew McAfee is a principal research scientist at the MIT Sloan School of Management¹²³. He is also the co-founder and co-director of MIT’s Initiative on the Digital Economy¹²³. In addition to his roles at MIT, he is the inaugural Visiting Fellow at the Technology and Society organization at Google²³.


Throughout his career, McAfee has written and co-written several books on digital technology and related topics¹. His next book, "The Geek Way", will be published by Little, Brown in 2023².


Moreover, he is a co-founder of Workhelix, which creates generative AI strategies and implementation plans for companies. His research primarily focuses on how technological progress changes the world¹²³.


McAfee has made significant contributions to understanding the impact of digital technologies on the world. His work has been recognized globally, with him being named to both the Thinkers50 list of the world’s top management thinkers and the Politico 50 group of people transforming American politics².


Source: Conversation with Bing, 10/17/2023

(1) Andrew McAfee - Wikipedia. https://en.wikipedia.org/wiki/Andrew_McAfee.

(2) About — Andrew McAfee. https://www.andrewmcafee.org/about/.

(3) Andrew McAfee, Principal Research Scientist, MIT | CXOTalk. https://www.cxotalk.com/bio/andrew-mcafee-principal-research-scientist-mit.

(4) Andrew McAfee Emphasizes Tech for Good - MIT Initiative on the Digital .... https://ide.mit.edu/insights/andrew-mcafee-emphasizes-tech-for-good/.


Daniel Rock


Daniel Rock is an Assistant Professor of Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania¹. His research focuses on the economic effects of digital technologies, with a particular emphasis on the economics of artificial intelligence¹. He has worked on studies addressing the types of occupations most exposed to machine learning, measuring the value of AI skillsets to employer firms, and adjusting productivity measurement to include investments in intangible assets¹.


In addition to his academic role, Rock is a co-founder of Workhelix, a company that creates generative AI strategies and implementation plans for other companies¹. Much of his work involves applying cutting-edge data science techniques to analyze datasets from financial market data sources, online resume sites, and job postings¹.


Rock received his B.S. from the Wharton School of the University of Pennsylvania, and his M.S. and Ph.D. from the Massachusetts Institute of Technology¹. Prior to his academic career, he worked as an Algorithmic Trader at DRW Trading¹.


Source: Conversation with Bing, 10/17/2023


(1) Daniel Rock – Operations, Information and Decisions Department. https://oid.wharton.upenn.edu/profile/rockdi/.


Erik Brynjolfsson


Erik Brynjolfsson is the director of the Stanford Digital Economy Lab¹²³. He also holds appointments at the Stanford Institute for Human-Centered AI (HAI), the Stanford University Department of Economics, and the National Bureau of Economic Research¹²³. His research, teaching, and speaking focus on the effects of digital technologies, including AI, on the economy and business¹²³.


In addition to his academic roles, Brynjolfsson is a co-founder of Workhelix, a company that creates generative AI strategies and implementation plans for other companies¹²³. His work has been recognized globally, with him being named to both the Thinkers50 list of the world’s top management thinkers and the Politico 50 group of people transforming American politics¹.


Brynjolfsson earned his A.B., magna cum laude, in 1984 and his S.M. in applied mathematics and decision sciences at Harvard University in 1984. He received a Ph.D. in Managerial Economics in 1991 from the MIT Sloan School of Management¹. He has served on the faculty of MIT from 1986 to 2020, where he was a professor at the MIT Sloan School of Management and Director of the MIT Initiative on the Digital Economy¹..


Source: Conversation with Bing, 10/17/2023


(1) Erik Brynjolfsson - Wikipedia. https://en.wikipedia.org/wiki/Erik_Brynjolfsson.

(2) Erik Brynjolfsson's Profile | Stanford Profiles. https://profiles.stanford.edu/erik-brynjolfsson.

(3) Erik Brynjolfsson | Stanford Graduate School of Business. https://www.gsb.stanford.edu/faculty-research/faculty/erik-brynjolfsson.

(4) undefined. http://brynjolfsson.com.

(5) Getty Images. https://www.gettyimages.com/detail/news-photo/erik-brynjolfsson-of-m-i-t-s-center-for-digital-business-news-photo/170941493.



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Searching for: "How to Capitalize on Generative AI." summary


The article "How to Capitalize on Generative AI" from Harvard Business Review discusses the potential of generative AI and how businesses can leverage it while mitigating its risks¹. 


Generative AI has shown remarkable capabilities in creating new content such as music, speech, text, images, and video. It's currently used to write software, transcribe physicians’ interactions with their patients, and allow people to converse with a customer-relationship-management system¹. 


However, the technology is not without its flaws. It can sometimes produce distorted or entirely fabricated output and can be oblivious to privacy and copyright concerns¹. 


The article provides guidance for businesses on how to navigate these challenges. It emphasizes the importance of widespread adoption and skill development in using the technology. It also highlights the need for businesses to effectively translate the adoption of this technology into higher productivity¹.


One optimistic estimate from Goldman Sachs suggests that generative AI could provide a boost of 1.5 percentage points to annual U.S. productivity growth over the 10 years after it is widely adopted¹. However, there is usually a lag between a technological breakthrough and widespread adoption¹.


The article concludes by stating that despite its imperfections, in all scenarios considered, the productivity boosts from generative AI were large enough to result in an economically significant outcome¹.


Source: Conversation with Bing, 10/17/2023


(1) How to Capitalize on Generative AI - Harvard Business Review. https://hbr.org/2023/11/how-to-capitalize-on-generative-ai.

(2) Keep Your AI Projects on Track - Harvard Business Review. https://hbr.org/2023/11/keep-your-ai-projects-on-track.

(3) Helping Employees Succeed with Generative AI - Harvard Business Review. https://hbr.org/2023/11/helping-employees-succeed-with-generative-ai.



Type: Bombshell Knowledge, Free Speech



g-f(2)1465: The Juice of Golden Knowledge



GK Juices or Golden Knowledge Elixirs



Reference




genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)1465, 
Fernando MachucaClaude and Bing ChatbotOctober 17, 2023, Genioux.com Corporation.



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