This MKAI Inclusive AI Forum Series discusses the big themes around Responsible AI. The April event examines the business rationale for ethical AI
April Forum Rationale: A typical commercial AI model is not usually developed to favour privacy, explainability and fairness. The general consensus has been that increased model performance delivers increased profits. And it can be the case that a black-box model has accuracy advantages over a glass-box model or a model that includes ethics-by-design. For example, an explainable model brings your algorithm’s reasoning closer to the surface, making it easier for competitors to copy, additionally algorithmic fairness could lead to competitive disadvantage.
Because the business world is changing, fast. More than just CSR, ethical practices are a form of business currency that get noticed in the marketplace. Industry studies show that a lack of clear, recognisable business ethics affects a company’s brand and reputation. A 2019 study by think-tank Doteveryone reported that “companies are losing valuable, highly skilled staff as a significant proportion of tech workers quit their jobs over irresponsible practices.” Consumers are becoming acutely aware of the risks inherent in AI systems. Governments are rapidly implementing new regulations around AI development practices and businesses are sending a clear message; they want “practical guidelines so that they can innovate with confidence.”
April Forum Objectives: At the MKAI Inclusive AI forum in April, we seek to discover what commercial advantages are available to companies that prioritise openness, responsible data collection, storage and processing and transparent practices.
Speaker: Ton Wagemans
Title: Partner at Considerati
Ton Wagemans is a Partner at Considerati as well as legal policy and ethics consultant for the digital world, advising clients on how to deal with the legal policy, ethical and strategic challenges of the information society and digital trust. He has experience in privacy and data protection, cybercrime, e-commerce, intellectual property, online piracy, internet freedom and internet regulation.
Speaker: Alex Edmans
Title: Professor of Finance at London Business School
Talk: The business case for responsibility
Alex Edmans is Professor of Finance at London Business School. Alex has a PhD from MIT as a Fulbright Scholar, and was previously a tenured professor at Wharton and an investment banker at Morgan Stanley. Alex has spoken at the World Economic Forum in Davos, testified in the UK Parliament, and given the TED talk “What to Trust in a Post-Truth World” and the TEDx talk “The Social Responsibility of Business” with a combined 2 million views. He serves as Mercers School Memorial Professor of Business at Gresham College, giving a four-year programme of lectures to the public, and on Royal London Asset Management’s Responsible Investment Advisory Committee. Alex’s book, “Grow the Pie: How Great Companies Deliver Both Purpose and Profit”, was featured in the Financial Times list of Business Books of the Year for 2020. He has been named to Poets and Quants Best 40 Professors Under 40 and Thinkers50 Radar.
Speaker: Merve Hickok
Title: Founder @AIethicist.org
Talk: AI Ethics in Business: Risk Management to Brand Differentiation
Merve Hickok is the founder of AIethicist and Lighthouse Career Consulting. She is an independent consultant & trainer focused on capacity building in ethical and responsible AI and governance of AI systems. Merve is a senior researcher Center for AI & Digital Policy; founding editorial board member of Springer Nature AI & Ethics journal: one of 100 Brilliant Women in AI Ethics 2021; Fellow at ForHumanity Center; a regional lead for Women in AI Ethics Collective; and a member in a number of IEEE & IEC work groups that set global standards for autonomous systems. Previously Merve has worked as a VP of HR in a number of different roles with Bank of America Merrill Lynch.
Moderated by Jaisal Surana