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Ethical innovation not ethics versus innovation

Mitigating risk is a means to achieve optimal business outcomes and ethical concerns belong in the conversation. So how can organizations effectively bridge current divides between innovation and ethics, and catalyze previously impossible growth?

Author:

Betsy Greytok

VP of Ethics and Policy

IBM

Author:

Valeria Sadovykh

Technology Strategist

Microsoft

Author:

Oriana Medlicott

Senior Researcher - Technology & Innovation Strategy (Lead on AI Ethics)

Fujitsu

Oriana Medlicott is leading AI Ethics in the Technology Strategy Unit at Fujitsu. She is the co-founder and co-host of Let’s Chat Ethics Podcast and on the advisory board of the AI Ethics Journal at UCLA. Prior to Fujitsu, Oriana worked as an AI Ethics consultant with start-ups, think tanks and academia across the USA and Europe. In Autumn of 2022, Oriana will lecture introduction to AI Ethics in industry at Nottingham Trent University. She holds a Masters in Philosophy, looking at the Ethics of AI and Biotech.

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The Board imperative: unlocking long-term value through trusted AI

AI has tremendous potential to create sustained long-term value – as long as you get it right. From day one of developing AI strategies, it is imperative that management understand the risks and the opportunities – and how ethics can influence them both.

Author:

Daniel Wu

Strategic AI Leadership | Keynote Speaker | Educator | Entrepreneur Course Facilitator

Stanford University

Daniel Wu is an accomplished technical leader with over 20 years of expertise in software engineering, AI/ML, and team development. With a diverse career spanning technology, education, finance, and healthcare, he is credited for establishing high-performing AI teams, pioneering point-of-care expert systems, co-founding a successful online personal finance marketplace, and leading the development of an innovative online real estate brokerage platform. Passionate about technology democratization and ethical AI practices, Daniel actively promotes these principles through involvement in computer science and AI/ML education programs. A sought-after speaker, he shares insights and experiences at international conferences and corporate events. Daniel holds a computer science degree from Stanford University.