Machine Intelligence Ethics
Panel: Dwija Patel, Bart Gajderowicz, Matthew Kantor, Myles Harrison
Why this topic?
The panel is tackling policy, employment, politics, cancer, self-driving cars, trolleys, Rand, reasoning around narrow machine intelligence.
Lots of interaction time planned.
Dwija is a Senior Android developer at CBC and an initiator for woman in tech at her organization. She is mainly involved in spreading awareness about technology in youth, she plays the role of a mentor and a coach for the next generation of technocrats. She has graduated in Information Technology. She has experience working in different environments, from start-up to banking to media and enjoys diverse work culture.
Matt Kantor is VP engineering at MileOut, a product incubation lab launching from the founders of Normative. Matt has a love of technology, learning and design. He has been working in the industry for over 20 years. His career has been spent building teams that produce dependable, high-performance software He’s designed and built critical infrastructure for both Fortune 500 and startups. Matt can easily bridge the gap between line-level code and the 50 thousand foot architectural view. Redundant, scalable, and easy to use systems what makes Matt happy.
Bart is a fourth-year PhD candidate in the Mechanical and Industrial Engineering Dept. at the University of Toronto, under the supervision of Dr. Mark S. Fox and Dr. Michael Grüninger. He is a member of the Centre for Social Service Engineering working on the Social Service Simulator project. He holds a MSc and BSc degrees in Computer Science from Ryerson University where he co-founded the Ubiquitous and Pervasive Computing Laboratory. Bart’s current work applies artificial intelligence technique to understanding human behaviour, with a focus on evaluating social service policies and applications in “intelligence augmentation” and “human-computer collaboration”. Prior to joining the CSSE, Bart spent 12 years working as a Software Engineer. Web: bartg.org
Myles Harrison is an analytics consultant at Accenture. Prior to his current role, he has previously been employed in consulting at PwC and SapientNitro, as well as a data scientist in programmatic advertising. Myles has spoken on machine learning and data visualization at the Toronto Data Science Group, Toronto’s Big Data Week and for the Toronto R User Group, and blogs on these topics as well as the analytics of everyday life at www.everydayanalytics.ca.
Thank you to Georgian Partners for the extra space!
Both audiences, those who are interested in machine intelligence / data science, and those who are practitioners of machine intelligence / data science are invited, and can both expect to learn something new.
Attendees can expect to learn what machine intelligence is, its applications, and what’s going on in Toronto’s data science community. Significant getting to know you time, and Q&A time is deliberately set aside.Back to all