genioux Fact post by Fernando Machuca and Perplexity
Introduction by Fernando and Perplexity
In the rapidly evolving landscape of artificial intelligence, navigating AI ethics on a global scale is paramount for companies aiming to succeed in the g-f New World. The article "g-f(2)2721 Navigating AI Ethics: A Global Perspective for Companies" underscores the critical importance of integrating ethical considerations into AI development and deployment. As businesses expand their operations across diverse cultural and regulatory environments, understanding and addressing the ethical complexities become essential for winning the g-f Transformation Game (g-f TG). This transformation game is a strategic endeavor where companies must balance innovation with ethical responsibility to thrive in a world increasingly shaped by AI technologies.
Importance of "g-f(2)2721" for Winning the g-f Transformation Game
The insights from "g-f(2)2721" are crucial for companies participating in the g-f Transformation Game as they provide a roadmap for implementing AI ethics globally. By adopting a comprehensive approach that respects cultural nuances and diverse ethical standards, businesses can mitigate risks and ensure compliance with varying regulations. This strategic alignment not only enhances a company's reputation but also positions it as a leader in responsible AI innovation, a key factor for success in the g-f New World.
Introduction
The article "How Companies Can Take a Global Approach to AI Ethics" from Harvard Business Review explores the complexities and necessities of implementing AI ethics on a global scale. It emphasizes the importance of understanding and integrating diverse cultural perspectives into AI ethics programs, highlighting the challenges and strategies for companies operating across multiple regions.
genioux GK Nugget
"Global AI ethics require balancing universal principles with local cultural nuances to ensure responsible and effective implementation." — Fernando Machuca and Perplexity, August 5, 2024
genioux Foundational Fact
AI ethics programs often overlook the diversity of global ethical standards, which can vary significantly across cultural contexts. To address this, companies must develop a contextual global AI ethics model that emphasizes collaboration with local teams and stakeholders, allowing for decision-making that respects local norms and regulations. This approach is crucial for companies with operations in multiple geographies to mitigate ethical risks and ensure compliance with varied data regulations.
The 10 Most Relevant genioux Facts
- AI ethics programs must consider the diverse ethical standards across different cultural contexts.
- Ethical reasoning can vary significantly due to cultural norms and religious traditions.
- Compliance with AI and data regulations is challenging due to their non-uniformity across geographies.
- Companies should develop a global AI ethics model that prioritizes local collaboration.
- Decision-making authority should be devolved to local teams to respect cultural differences.
- A contextual approach to AI ethics helps mitigate ethical risks and ensure compliance.
- Well-publicized ethical failures in AI can damage reputations and attract regulatory fines.
- Dedicated structures and processes for AI ethics are increasingly being implemented by organizations.
- Institutional frameworks for AI ethics are being developed by some companies.
- Understanding local norms and regulations is crucial for companies with global operations.
Conclusion
To successfully implement AI ethics on a global scale, companies must adopt a nuanced approach that balances universal ethical principles with local cultural contexts. By prioritizing collaboration with local teams and stakeholders and devolving decision-making authority, organizations can navigate the complexities of global AI ethics, mitigate risks, and ensure compliance with diverse regulations.
REFERENCES
The g-f GK Context
Swanand Deodhar, Favour Borokini, and Ben Waber, How Companies Can Take a Global Approach to AI Ethics, Harvard Business Review, August 5, 2024.
ABOUT THE AUTHORS
Swanand Deodhar is an associate professor at the Indian Institute of Management Ahmedabad. His engaged research in topics such as digital platforms and digital transformation is rooted in deep collaboration with practice. His work has appeared in journals of global repute and reference, such as MIS Quarterly, Information Systems Research, and Journal of International Business. You can follow him on LinkedIn.
Favour Borokini is a PhD student with the Horizon Centre for Doctoral Training, hosted at the Faculty of Computer Science at the University of Nottingham. Her research interest is in the ethical framework that addresses harm in immersive environments. She holds a Law degree from the University of Benin, Nigeria, and is a member of the Nigerian bar. She has successfully leveraged her legal background to investigate issues such as the impact of technology on human rights, particularly women’s rights, the impact of AI on African women, and the experiences of African women working in AI across various sectors.
Ben Waber is a visiting scientist at the MIT Media Lab and a senior visiting researcher at Ritsumeikan University. His research and commercial work is focused on the relationship between management, AI, and organizational outcomes. He is also the author of the book People Analytics. Follow him on Mastodon: @bwaber@hci.social.
Classical Summary of the Article:
The article "How Companies Can Take a Global Approach to AI Ethics" from Harvard Business Review discusses the challenges and strategies for implementing ethical AI practices on a global scale. It highlights that many AI ethics programs overlook the complexity of global ethical standards and the diverse cultural perspectives that must be considered. The article suggests that companies need to adopt a comprehensive approach that incorporates diverse viewpoints and addresses biases inherent in AI and machine-learning models. It emphasizes the importance of establishing AI ethics committees to identify and mitigate ethical risks, ensuring that AI technologies are developed and used responsibly across different regions and cultures[2][4].
Citations:
[1] https://store.hbr.org/articles/
[2] https://ramaonhealthcare.com/how-companies-can-take-a-global-approach-to-ai-ethics/
[3] https://libguides.dbu.edu/businessresearch
[4] https://hbr.org/2022/07/why-you-need-an-ai-ethics-committee
Swanand J. Deodhar
Swanand J. Deodhar is an Associate Professor of Information Systems at the Indian Institute of Management Ahmedabad (IIMA). He is also a member of the marketing area, given his research and teaching interests traverse both fields¹.
Academic Background:
- Ph.D. in Business Administration from Carlson School of Management, University of Minnesota¹.
- Fellow of the Management Development Institute (MDI), Gurgaon¹.
- MBA in Information Technology from Symbiosis International University¹.
- Bachelor’s degree in Mathematics from Mumbai University¹.
Specializations:
- Technology Management
- Industrial Automation
- Digital Transformation
- Digital Platforms¹
Professional Contributions:
Swanand has a wealth of experience in executive education, having trained senior personnel from leading organizations such as Airtel, Tata Projects, Hindustan Unilever, Crompton, TVS Motors, SIDBI, Naval War College, and The CIO Klub¹. He has also conducted sessions in open-enrollment executive education programs at IIMA, including Salesforce Transformation, B2B Marketing, Effective CIO Leadership, and IT Project Management¹.
Research and Publications:
Swanand actively publishes in leading academic journals. His recent work has appeared in journals such as Information Systems Research, MIS Quarterly, Journal of International Business Studies, Decision Support Systems, Journal of Business Research, and Journal of Strategic Information Systems¹. He was the recipient of the IIMA Outstanding Researcher Award for the year 2022-2023¹.
Administrative Roles:
Currently, Swanand serves IIMA in several administrative capacities. He is the Chairperson for Research and Publications and a member of the executive committee for the Doctoral Program and Computer Services Committee¹.
Swanand's dedication to education and research makes him a valuable asset to IIMA and the academic community at large.
¹: [IIMA - Indian Institute of Management Ahmedabad](https://www.iima.ac.in/faculty-research/faculty-directory/swanand-deodhar)
Source: Conversation with Copilot, 8/5/2024
(1) Swanand Deodhar | IIMA - Indian Institute of Management Ahmedabad. https://www.iima.ac.in/faculty-research/faculty-directory/swanand-deodhar.
(2) Swanand Deodhar. https://www.fsm.ac.in/peoples/swanand_deodhar.
(3) Prof Swanand Deodhar - temp.irins.org. https://temp.irins.org/profile/102067.
(4) Swanand Deodhar - Google Scholar. https://scholar.google.com/citations?user=--2I0PQAAAAJ.
Favour Borokini
Favour Borokini is a PhD student with the Horizon Centre for Doctoral Training, hosted at the Faculty of Computer Science at the University of Nottingham¹². Her research focuses on developing an ethical framework to address harm in immersive environments, particularly through the lens of afrofeminist ethics¹².
Academic Background:
- LLB from the University of Benin, Nigeria¹.
- Barrister and Solicitor of the Supreme Court of Nigeria since 2019¹.
Research Interests:
- Afrofeminist ethics in the design and use of avatars¹.
- Legal and ethical implications of alternate identity representation through 3D avatars⁴.
- Impact of technology on human rights, with a specific focus on women's rights and the Global South¹².
Professional Contributions:
Before starting her PhD, Favour worked with various organizations on technology policy and the impact of emerging technologies on human rights¹. She led the African Women in AI project at Pollicy, a Ugandan civic technology not-for-profit, where she researched the impact of AI on African women¹². Favour has also volunteered with the International Federation of Women Lawyers (FIDA-Ekiti) and has co-authored various reports on the intersections between technology and human rights¹.
Current Research:
Favour's current research explores the representational affordances of avatars from the perspective of African women on various platforms, aiming to develop an ethical and inclusive framework for their design and use¹. Her work is supervised by Dr. Oliver Butler, Dr. Alan Chamberlain, and Dr. Lydia Farina¹.
Favour's dedication to exploring the ethical dimensions of technology and her commitment to human rights make her a valuable contributor to the academic and professional communities.
¹: [University of Nottingham](https://www.nottingham.ac.uk/law/people/favour.borokini)
²: [Favour Borokini](https://www.favourborokini.com/)
⁴: [Responsible Digital Futures](https://www.responsible-digital-futures.org/favour-borokini/)
Source: Conversation with Copilot, 8/5/2024
(1) Staff Listing - The University of Nottingham. https://www.nottingham.ac.uk/law/people/favour.borokini.
(2) Favour Borokini. https://www.favourborokini.com/.
(3) Favour Borokini – Responsible Digital Futures. https://www.responsible-digital-futures.org/favour-borokini/.
(4) #IamthefutureofAI Series: Favour Borokini | by WAIE Writer - Medium. https://medium.com/women-in-ai-ethics/iamthefutureofai-series-favour-borokini-a453d4c1dc7a.
Ben Waber
Ben Waber is a prominent figure in the field of behavioral analytics and organizational behavior. He is currently a visiting scientist at the MIT Media Lab and a senior visiting researcher at Ritsumeikan University¹².
Academic Background:
- Ph.D. in Media Arts and Sciences from the MIT Media Lab, where he worked with Prof. Alex (Sandy) Pentland in the Human Dynamics Group¹².
- BA and MA in Computer Science from Boston University, completed in four years¹².
- Minor in Japanese, with a semester abroad at the Kyoto Center for Japanese Studies¹².
Professional Contributions:
Ben is the President and CEO of **Humanyze**, a behavioral analytics company he co-founded based on his research¹². He is recognized as a leading thinker at the intersection of management, data, workplace, and people³. His work focuses on using real-time data flows to rethink management of people, physical architecture, corporate planning, and training¹².
Research Interests:
- Dynamic organizational design
- Organizational behavior
- Social networks
- Sensor networks
- Prediction mechanisms
- Information flow¹²
Publications and Media*:
Ben has authored numerous publications and is well-known for his book on People Analytics¹². His work has been featured in major media outlets, and he has consulted for industry leaders such as LG, McKinsey & Company, and Gartner on technology trends, social networks, and organizational design¹².
Personal Life:
Ben's wife, Rebecca Waber, was also a member of the MIT Media Lab and is now an executive at CVS¹².
Ben Waber's innovative research and leadership in behavioral analytics continue to make significant contributions to the fields of management and organizational behavior.
¹: [MIT Media Lab](https://web.media.mit.edu/~bwaber/)
²: [Remus Capital](https://remuscap.com/team-member/ben-waber/)
³: [MIT Professional Education](https://professional.mit.edu/programs/faculty-profiles/ben-waber)
Source: Conversation with Copilot, 8/8/2024
(1) Ben Waber - MIT Homepage. https://web.media.mit.edu/~bwaber/.
(2) Ben Waber - People Analytics, Humanyze Leader. https://web.media.mit.edu/~bwaber/index.html.
(3) Ben Waber | Professional Education. https://professional.mit.edu/programs/faculty-profiles/ben-waber.
(4) Ben Waber - Remus Capital. https://remuscap.com/team-member/ben-waber/.
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