Artificial Intelligence is quickly becoming mainstream, engrained in the fabric of our lives, acting on our behalf – helping us get things done faster, more efficiently, giving us deeper insights, maybe even helping us be happier and healthier. AI is taking on tasks that were traditionally done by humans – from acting as our personal assistants and hiring our next co-worker, to driving our cars and assisting with our healthcare. But AI today has high IQ but no EQ, no emotional intelligence. We’re forging a new kind of partnership with technology. A new social contract that is based on mutual trust. In this talk, Dr. el Kaliouby will discuss the 5 tenets of this new social contract including how to build AI that has empathy, the ethical considerations of AI and the importance of guarding against data and algorithmic bias.
A pioneer in artificial emotional intelligence (Emotion AI), Rana el Kaliouby, PhD, is co-founder and CEO of MIT spinoff and category-defining company Affectiva. Rana led the innovation of the company’s award-winning technology, which uses deep learning and massive amounts of data to analyze complex and nuanced emotions and cognitive states from face and voice, for industries like automotive, market research, HR video recruitment, and mental health. Rana is now paving the way for Human Perception AI: software that can detect all things human, from nuanced human emotions and complex cognitive states, to behaviors, activities and the objects people use. Rana is one of few women leading a disruptive AI company. A Muslim-American and passionate advocate, she frequently speaks in press and on stage about innovation, women in technology, ethics in AI and leadership. Forbes recently included Rana in their list of America’s Top 50 Women in Tech, Fortune Magazine included her in their 2018 40 under 40 and she was named one of the three Global Business pioneers by Bloomberg in 2017. Rana is also a member of the World Economic Forum’s Young Global Leaders and a member of the Partnership on AI. Rana holds a BSc and MSc in Computer Science from the American University in Cairo, a PhD from the Computer Laboratory at the University of Cambridge and a Post Doctorate at MIT.