Pages tagged: Risk
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
Lofred Madzou is a Project Lead for AI at the World Economic Forum, where he oversees global and multistakeholder AI policy projects. He is also a research associate at the Oxford Internet Institute where he investigates various methods to audit AI systems.
Before joining the Forum, he was a policy officer at the French Digital Council, where he advised the French Government on technology policy. Most notably, he has co-written chapter 5 of the French AI National Strategy, entitled "What Ethics for AI?”. He has an MSc in Data Science and Philosophy from the University of Oxford.
In her role as Responsible AI and AI for Good Lead at PwC, Maria advises clients and partners across industry, academia, governments, and more, on how to harness the power of AI in an ethical and responsible manner. She has played a crucial part in the development and set-up of firms' AI Center of Excellence, AI strategy and the Responsible AI toolkit, a suite of products dedicated to operationalisation ethics in AI. Maria is a globally recognised AI ethics expert, a Advisory Board
member of the UK Government All-Party Parliamentary Group on AI and ORBIT, vice chair of techUK Data and AI leadership committee and member of BSI/ISO & IEEE AI standard groups.
Maria is a passionate advocate for gender diversity, children and youth rights in the age of AI. Recently she was named an expert advisor for UNICEF #AI4Children and WEF Generation AI programmes.
Twitter: https://twitter.com/maria_axente
LinkedIn: https://www.linkedin.com/in/mariaaxente/
