Wednesday, October 30, 2024

g-f(2)3131 Responsible AI: Overcoming Fragmented Standards for Global Success

 


g-f Fishing on Technology & Innovation (10/30/2024)


genioux Fact post by Fernando Machuca and Copilot


Introduction


The article from MIT Sloan Management Review, titled "A Fragmented Landscape Is No Excuse for Global Companies Serious About Responsible AI," addresses the critical issue of implementing responsible AI (RAI) in a world where global standards and norms are not yet fully aligned. Despite the challenges posed by this fragmented landscape, the article emphasizes the imperative for global companies to take proactive steps in ensuring ethical AI practices.



genioux GK Nugget


"Despite the fragmented global landscape of AI standards and norms, global companies have a responsibility to implement responsible AI practices to ensure ethical and effective outcomes." — Fernando and Copilot, October 30, 2024.



genioux Foundational Fact


The fragmented nature of global AI standards and norms presents significant challenges for the implementation of responsible AI. However, this should not deter global companies from their duty to ensure ethical AI practices. By taking proactive steps and adhering to core principles such as fairness, accountability, transparency, privacy, safety, and robustness, companies can navigate the complexities and achieve responsible AI implementation.



The 10 Most Relevant genioux Facts


  1. Fragmented Standards: The global landscape for AI standards and norms is highly fragmented, lacking uniformity and alignment.
  2. Expert Panel Insights: AI experts, including academics and practitioners, provide valuable insights into the state of responsible AI implementation worldwide.
  3. Global Consensus: There is an emerging global consensus on the urgency of adopting responsible AI practices.
  4. Core Principles: Key principles of responsible AI include fairness, accountability, transparency, privacy, safety, and robustness.
  5. Proactive Responsibility: Global companies must take proactive responsibility for implementing responsible AI, regardless of the fragmented landscape.
  6. Strategic Navigation: Companies need to strategically navigate the complexities of varying AI standards and norms to achieve responsible AI.
  7. Ethical Imperative: The ethical imperative for responsible AI extends beyond compliance with existing standards, focusing on broader societal impact.
  8. Risk Management: Effective risk management strategies are essential to address the ethical and operational challenges posed by AI technologies.
  9. Leadership Role: Corporate leaders play a crucial role in championing responsible AI practices within their organizations.
  10. Long-Term Commitment: A long-term commitment to responsible AI is necessary for sustainable growth and innovation.



Conclusion


The article underscores the importance of responsible AI in the modern digital landscape. Despite the fragmented global standards, companies must not shy away from their ethical responsibilities. By adhering to core principles and taking proactive measures, global companies can ensure the ethical and effective implementation of AI, ultimately contributing to positive societal impact and sustainable success.





REFERENCES

The g-f GK Context


Elizabeth M. Renieris, David Kiron, and Steven MillsA Fragmented Landscape Is No Excuse for Global Companies Serious About Responsible AIMIT Sloan Management ReviewOctober 29, 2024.



ABOUT THE AUTHORS


Elizabeth M. Renieris is guest editor for the MIT Sloan Management Review Responsible AI Big Idea program, a senior research associate at Oxford’s Institute for Ethics in AI, a senior fellow at the Centre for International Governance Innovation, and author of Beyond Data: Reclaiming Human Rights at the Dawn of the Metaverse (MIT Press, 2023). Learn more about her work here


David Kiron is an editorial director at MIT Sloan Management Review and coauthor of the book Workforce Ecosystems: Reaching Strategic Goals With People, Partners, and Technology (MIT Press, 2023). 


Steven Mills is a managing director and partner at Boston Consulting Group, where he serves as the chief AI ethics officer.



Classical Summary of the Article


The MIT Sloan Management Review article discusses the challenges global companies face in implementing responsible AI (RAI) due to the fragmented landscape of global standards and norms. Despite the lack of alignment, the article emphasizes that global companies have a responsibility to implement RAI across their organizations.


Key Points

  1. Fragmented Global Landscape: The article highlights the lack of international alignment on codes of conduct and standards for responsible AI.
  2. Expert Insights: A panel of AI experts, including academics and practitioners, provides insights into how RAI is implemented worldwide.
  3. Urgency of RAI: There is a growing global consensus on the urgency of responsible AI, with recurring themes such as fairness, accountability, transparency, privacy, safety, and robustness.
  4. Recommendations: The article offers recommendations for global companies to navigate the complexity of implementing RAI and achieve their goals despite the fragmented landscape.


Conclusion


The article underscores the importance of responsible AI and provides guidance for global companies to overcome the challenges posed by the fragmented global landscape. It calls for a concerted effort to align RAI principles and codes of conduct to ensure ethical and effective AI implementation.





Elizabeth M. Renieris


Elizabeth M. Renieris is a distinguished lawyer, researcher, and author specializing in the ethical and human rights implications of emerging technologies. She is a Senior Fellow at the Centre for International Governance Innovation (CIGI) and the Founder and CEO of HACKYLAWYER, a consultancy focused on law and policy engineering.


Elizabeth holds a Master of Laws from the London School of Economics and Political Science, a Doctor of Jurisprudence from Vanderbilt University, and a Bachelor of Arts from Harvard College. She is also a Senior Research Associate at the Institute for Ethics in AI at the University of Oxford and an Affiliate at Harvard University's Berkman Klein Center for Internet & Society.


Her work has taken her across the globe, advising organizations such as the World Bank, the UK Parliament, the European Commission, and the US Congress on issues related to AI, machine learning, blockchain, and digital identity. Elizabeth is a frequent writer and speaker, with contributions to outlets like Wired, Slate, NPR, Forbes, and The New York Times.


Elizabeth is the author of the forthcoming book "Beyond Data: Reclaiming Human Rights at the Dawn of the Metaverse" (MIT Press, 2023). She is also the Guest Editor for MIT Sloan Management Review's Responsible AI Big Idea program, where she helps shape the conversation around responsible AI and global standards.


Her expertise and dedication to promoting human values in technology have earned her recognition, including being named to the 2022 list of "100 Brilliant Women in AI Ethics" by Women in AI Ethics.


[1] www.cigionline.org https://www.cigionline.org/people/elizabeth-m-renieris/



David Kiron


David Kiron is the Editorial Director at MIT Sloan Management Review. He has a rich background in research and academia, having previously served as a senior researcher at Harvard Business School and a research associate at the Global Development and Environment Institute at Tufts University.


David holds a PhD in Philosophy from the University of Rochester and a BA from Oberlin College. His work focuses on the intersection of digital media, behavioral economics, and strategic management2. He has contributed to various prestigious publications, including MIT Sloan Management Review, The MIT Press, Deloitte, Fortune, Brookings Institution, and Big Think.


As the Editorial Director, David plays a pivotal role in shaping the content and direction of MIT Sloan Management Review, ensuring that it remains at the forefront of management research and thought leadership.


[1] sloanreview.mit.edu https://sloanreview.mit.edu/david-kiron/

[2] muckrack.com https://muckrack.com/david-kiron



Steven Mills:


Steven Mills is a Managing Director & Partner at Boston Consulting Group (BCG) and serves as the Chief AI Ethics Officer. He is a member of the firm's Center for Digital Government and is the global lead for artificial intelligence in the public sector.


Steven has extensive experience supporting both private and public sector clients in areas such as health, finance, aerospace, social impact, technology, and defense. His technical leadership includes AI product development, implementing complex machine learning use cases, and providing decision support through large-scale modeling and simulation1.


Before joining BCG, Steven spent eight years at Booz Allen Hamilton, where he served as the Director of Machine Intelligence and the Director of Booz Allen Futures, a business unit focused on exploring the intersections between emerging technology and socioeconomic, environmental, and geopolitical trends.


Steven holds a Master of Science in Operations Research and Forest Management Planning from Pennsylvania State University and a Bachelor of Science in Wildlife and Fisheries Management from Frostburg State University.


He is also an invited member of the World Economic Forum's Global AI Council and a member of the Forum's Responsible Use of Technology Working Group and the Center for a New American Security Task Force on AI in National Security.


[1] www.cnas.org https://www.cnas.org/people/steven-mills



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