[CXOTALK FRIDAY] House of Lords: Confronting AI Ethics - Bias and Blind Spots

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Lord Tim Clement-Jones, leading AI policy expert and member of the UK House of Lords, joins CXOTalk for a critical examination of ethical AI.  We explore defining responsible AI, the dangers of bias, the need for transparency, the challenges of misinformation, and the complex path toward effective governance. 

Watch CXOTalk episode 833 for actionable advice on building ethical AI practices into your organization.

Lord Tim Clement-Jones was made CBE for political services in 1988 and a life peer in 1998.  He is Liberal Democrat House of Lords spokesperson for Science, Innovation and Technology; a member of the AI in Weapons Systems Select Committee; former Chair of [the very first] House of Lords Select Committee on AI which sat from 2017-18; Co-Chair and founder of the All-Party Parliamentary Group on AI; a founding member of OECD’s Parliamentary Group on AI and a Consultant on AI Policy and Regulation to global law firm, DLA Piper. He is author of the book Living with the Algorithm: AI Governance and Policy for the Future.

Michael Krigsman is an industry analyst and publisher of CXOTalk. For three decades, he has advised enterprise technology companies on market messaging and positioning strategy. He has written over 1,000 blogs on leadership and digital transformation and created almost 1,000 video interviews with the world’s top business leaders on these topics. His work has been referenced in the media over 1,000 times and in over 50 books. He has presented and moderated panels at numerous industry events around the world.

Apr 5: Mohamad Ali, Chief Operating Officer, IBM Consulting

Apr 12: Tim Clement-Jones, Member, House of Lords, UK Parliament

Apr 19: Parag Parekh, Global Chief Digital Officer, IKEA

Apr 26: Kian Katanfaroosh, Computer Science Lecturer, Stanford University

May 3: Simon Allen. CEO, McGraw HIll

May 17: Sol Rashidi, former Chief Data Officer, Estée Lauder

What are Ethical AI and Responsible Technology?

Explore the intersection of technology and ethics with Paul Daugherty of Accenture in CXOTalk Episode 831. Dive into responsible AI, its impact on business, and the future of work in an AI-driven world. Essential viewing for leaders in technology and business.

Key Takeaways

The Urgency of Proactive Responsible AI Frameworks. As AI becomes more powerful and pervasive, organizations must move beyond principles to operationalize responsible AI practices. Proactively establishing comprehensive responsible AI frameworks, including principles, policies, processes, tools, and training, is essential for driving business value, fostering innovation, and mitigating potential risks.

Bridging AI Talent and Trust Gaps Through Continuous Learning. While 95% of workers believe AI will enrich their careers, 60% feel anxious due to lack of communication from leadership about AI's impact on their roles. Democratizing AI knowledge, enabling continuous learning, and transparently communicating AI's implications for the workforce are crucial for building trust and closing talent gaps.

Human Accountability and Orchestration in the Era of AI. Despite increasing AI capabilities, humans must remain accountable for the technology's outcomes and impacts. The concept of "human orchestrated AI" emphasizes designing AI to augment and amplify human potential, rather than simply keeping "humans in the loop" as an afterthought. Organizations should focus on creating AI solutions that maximize human capabilities and ensure human accountability.

Building Ethical AI: 7 Principles of Responsible Technology

On CXOTalk episode 826, AI ethics expert Juliette Powell (author, "The AI Dilemma") reveals the 7 principles of responsible technology. Learn how to build ethical AI, avoid common pitfalls, and navigate this complex landscape. Essential listening for CXOs.

Key Takeaways

Understand the Unique Risks of AI: AI introduces specific risks that differ from traditional business risks. Senior leaders must ensure these risks are not only assessed but fully integrated into the broader organizational risk management strategy. This approach is crucial for navigating the complexities of AI deployment in a landscape that lacks a comprehensive regulatory framework, particularly in North America.

Broaden the Definition of Responsibility: Move beyond the narrow focus on ethics to embrace a wider sense of responsibility that includes the global impact of AI technologies. This perspective is essential for developing AI that is beneficial and accessible to the billions coming online, who may not be aware of algorithmic influences. It's about creating technology that serves a broader audience, not just those in privileged positions.

Anticipate and Adapt to Upcoming Regulations: With significant regulations on the horizon, such as the EU's Artificial Intelligence Act, companies must proactively adjust their AI strategies. This preparation involves understanding the potential impact of these regulations on business operations and ensuring compliance to avoid substantial fines and legal challenges. Being forward-thinking in regulatory compliance can also serve as a competitive advantage.

Leverage Diverse Perspectives for Better Outcomes: Encourage diversity within AI development teams and decision-making processes. A diverse range of perspectives leads to more thorough deliberation and more inclusive results. This approach, referred to as "creative friction," can enhance the quality and relevance of AI technologies, ensuring they serve a wider range of people and scenarios effectively.