Pages tagged: Responsible AI
One of the first movers in Responsible AI, Olivia Gambelin is a world-renowned expert in AI Ethics and product innovation whose experience in utilising ethics-by-design has empowered hundreds of business leaders to achieve their desired impact on the cutting edge of AI development. Olivia works directly with product teams to drive AI innovation through human value alignment, as well as executive teams on the operational and strategic development of responsible AI.
As the founder of Ethical Intelligence, the world’s largest network of Responsible AI practitioners, Olivia offers unparalleled insight into how leaders can embrace the strength of human values to drive holistic business success. She is the author of the book Responsible AI: Implement an Ethical Approach in Your Organization with Kogan Page Publishing, the creator of The Values Canvas, which can be found at www.thevaluescanvas.com, and co-founder of Women Shaping the Future of Responsible AI (WSFR.AI).
Lisa Talia Morettiis a Digital Sociologist based in the UK. She holds a MSc Digital Sociology and 17 years of experience working at the intersection of design research, social theory and technology. Lisa is the Chair of the AI Council at BIMA and a board member of the Conversation Design Institute Foundation. In 2020, Lisa was named one of Britain’s 100 people who are shaping the digital industry in the category Champion for Change. Her talk 'Technology is not a product, it's a system' is available for viewing on TED.com
Links mentioned: Elements of AI https://www.elementsofai.com/
Ricardo Baeza-Yates is Director of Research at the Institute for Experiential AI of Northeastern University. He is also a part-time Professor at Universitat Pompeu Fabra in Barcelona and Universidad de Chile in Santiago. Before he was the CTO of NTENT, a semantic search technology company based in California and prior to these roles, he was VP of Research at Yahoo Labs, based in Barcelona, Spain, and later in Sunnyvale, California, from 2006 to 2016. He is co-author of the best-seller Modern Information Retrieval textbook published by Addison-Wesley in 1999 and 2011 (2nd ed), which won the ASIST 2012 Book of the Year award. From 2002 to 2004 he was elected to the Board of Governors of the IEEE Computer Society and between 2012 and 2016 was elected to the ACM Council.
Since 2010 he has been a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow, among other awards and distinctions. He obtained a Ph.D. in CS from the University of Waterloo, Canada, and his areas of expertise are web search and data mining, information retrieval, bias and ethics on AI, data science and algorithms in general.
Madhulika Srikumar is a program lead at the Safety-Critical AI initiative at Partnership on AI, a multistakeholder nonprofit shaping the future of responsible AI. Core areas of her current focus include community engagement on responsible publication norms in AI research and diversity and inclusion in AI teams. Madhu is a lawyer by training and completed her graduate studies (LL.M) at Harvard Law School.
Managing the Risks of AI Research: Six Recommendations for Responsible Publication
Josie Young operates at the intersection of Artificial Intelligence, ethics and innovation. She’s based in Seattle (US) and is part of Microsoft’s Ethics & Society team, partnering with product teams to build technology that embodies Microsoft’s responsible AI principles.
Prior to leaving for the US, Josie was named Young Leader of the Year at the 2020 Women in IT Awards (London, UK) for her work leading ethical deployment of AI in the public sector at consulting group Methods. In 2018, Josie gave a TEDxLondon talk on the design process she created for building feminist chatbots. She has collaborated with the Feminist Internet from time to time, looking at ways to build feminist technologies.
Josie is also the Co-Chair of YWCA Great Britain, a charity dedicated to supporting young women’s leadership.
Tim works in academic research and commercial development of Artificial Life (ALife) and Artificial Intelligence (AI) technologies, with a particular interest in the foundational issues of true autonomy and open-ended creative evolution. He is also interested in the historical development of these ideas, and has recently written a book on the (very) early history of the idea of self-reproducing and evolving machines ("The Spectre of Self-Reproducing Machines: An Early History of Evolving Robots", currently under review with publisher). He holds an MA in Natural Sciences from the University of Cambridge (specialising in Experimental Psychology), followed by a MSc (with distinction) and PhD in Artificial Intelligence from the University of Edinburgh. He has held a wide variety of positions in academia and in tech companies, including work on evolutionary techniques in the games industry (MathEngine PLC, Oxford), postdoctoral research on swarm robotics (University of Edinburgh) and co-founder and CTO of a company developing continuous learning AI systems for fund management (Timberpost). He is an elected board member of the International Society for Artificial Life and an associate examiner for the University of London Worldwide.
