Article "Ethical AI isn’t the same as trustworthy AI, and that matters"
by Kimberly Nevala
November 28, 2020
by Kimberly Nevala
November 28, 2020
Artificial intelligence is all around us ... and the future will only bring more of it. How can we ensure the AI systems we build are responsible, safe and sustainable? Ethical AI expert Genevieve Bell shares six framing questions to broaden our understanding of future technology -- and create the next generation of critical thinkers and doers.
The Milgram Experiment was a series of famous social psychology experiments in the 1960s on the conflict of obedience to authority.
The goal was to measure the willingness of study participants to obey an authority figure who instructed them to perform acts conflicting with their personal conscience, leading participants to believe they were inflicting serious pain to a “fake” study participant.
We set out to see if social robots could have the same influence over people, despite demanding morally wrong actions to be taken.
Today, no two letters will evoke more excitement and anxiety than A.I. Helen Kontozopoulos, a lecturer at the University of Toronto and co-founder of the Department of Computer Science Innovation Lab (DCSIL), is all-too-familiar with the emotions A.I. evokes. However, she argues that we can make A.I. work better into the future if we adopt a holistic Artificial Intelligence framework. Helen co-founded the University of Toronto's Department of Computer Science Innovation Lab “DCSIL” in 2015, an incubator and accelerator for early-stage startups in Canada. DCSIL’s startups focus on artificial intelligence, machine learning, data science, AR/VR and cybersecurity technologies, Helen works with these teams on their strategy, growth, industry relationships, and UX areas of their ventures. She is directing efforts at DCSIL to foster innovation and commercialization through entrepreneurship programs, curating talent development, supporting tech transfer and increasing industry collaborations.
She is a lecturer at the University of Toronto, in the Department of Computer Science (St.George campus) and Department of Computer and Mathematical Sciences (Scarborough Campus), where she teaches product development, UX, lean startup methodologies, rapid prototyping, entrepreneurship, innovation, and growth strategy.