In part 2 of our ‘Trust in the age of AI series’, four renowned speakers will share their research and ideas around how we can help AI to be more understandable. Distinctly different from the idea of Explainable AI, Understandable AI is about communicating the risks to users and customers and about building trust and privacy by design into data collection and AI models. ‘Understandability’ is about a business culture of transparency and openness towards data, people and social impact.
As always the MKAI Inclusive Forums are open to everyone from all walks of life. Our expert speakers make the subject approachable and comprehensible to help all of us improve our AI-fluency and understanding of the domain.
Speaker 1: Renée Cummings, AI Ethicist
Presentation: The extraordinary possibilities of ethical AI
Renée is committed to deploying AI to empower and sustainably transform cities, communities, cultures, and organizations; securing full participation of citizens in AI, helping companies navigate the AI landscape and developing future AI leaders.
Speaker 2: Aleksandra Przegalinska, Vice Rector at Kozminski University and AIER Research Fellow
Presentation: The Future of AI: Ubiquitous, Invisible and Accessible to all
Aleksandra is Vice-Rector responsible for International Cooperation and ESR + Associate Professor at Kozminski Uni. A former MIT Research Fellow and future Harvard Senior Research Fellow promoting the use of artificial intelligence in everyday life and educating the public on how it works.
Speaker 3: Reid Blackman, CEO at Virtue and EY AI Advisory Board Member
Presentation: Why we need a broader ethical AI perspective in business
Reid is the Founder and CEO of Virtue. In that capacity, he has worked with companies to integrate ethics and ethical risk mitigation into company culture and the development, deployment, and procurement of emerging technology products. He is also a Senior Advisor to Ernst & Young and sits on their Artificial Intelligence Advisory Board, and is a member of IEEE’s Ethically Aligned Design Initiative.
Speaker 4: Paul Sliwinski, Consultant Team Lead at Aiimi
Presentation: Uncomplicated front-ends for complex systems: How can we make AI products more understandable?
Paul is a Consultant Team Lead at Aiimi, where he spends his time helping users get the most out of their data. Working with customers across a variety of industries, Paul brings together multi-disciplinary teams of data scientists, engineers, visualisation/UX/UI experts, product owners, business analysts, and key stakeholders. His ultimate aim is always to help teams explore, collaborate, and resolve their most complex organisational challenges.