Sold Out

Ethical AI: What kind of society do we want to have?

Event Information

Share this event

Date and Time

Location

Location

BrainStation

441 King Street West

Toronto, ON M5V 1L7

Canada

View Map

Refund Policy

Refund Policy

No Refunds

Event description

Description

WE'RE BACK WITH OUR FIRST EVENT OF 2018!

We've teamed up with the new Toronto chapter of Humans For AI to bring you an exclusive panel discussion on the ethics of AI featuring some of Toronto's top women in the AI space.

AI is accelerating its pace and with it, bringing us incredible benefits… but also vulnerabilities to individuals and society, real and yet to be revealed.

This panel will discuss how AI has dramatically improved convenience, access to information, communication and expectations for everyone and society at large. But are we, as humans, slowly ceding control to the machines we’ve programmed? How will AI change the way we think about how our information is used in exchange for the things we want?

OUR AMAZING PANEL:

Moderated by Hessie Jones, CMO of Humans for AI and Co-Founder of Salsa AI

Inmar Givoni - Autonomy Engineering Manager at Uber Advanced Technologies Group

Inmar leads a team of research and software engineers at Uber Advanced Technology Group, Toronto, working on self-driving technologies. Her mission is to bring cutting-edge deep-learning based solutions from the Toronto research team into Uber's self driving fleet. Inmar led machine learning and research engineering team in various Toronto based companies (Kindred, Kobo), worked as a research scientist (Kobo, Intel, Microsoft Research) and prior to that completed her PhD at the University of Toronto, specializing in machine learning. She is a regular speaker at big data, analytics, and machine learning events, and is particularly interested in outreach activities for young women, encouraging them to choose technical career paths.

Karen Bennet - VP Engineering at Cerebri AI

Karen is an experienced senior engineering leader with more than 25 years in the software development business in both open and closed source solutions. She is currently focusing on AI / machine learning at a new startup company. Previously she worked as a senior engineering leader at IBM, Yahoo, Trapeze and as well with two startups: Cygnus and Red Hat which have grown into sustainable businesses.

Anna Goldenberg - Member of the Vector Institute, Assistant Professor at the University of Toronto Department of Computer Science, and Scientist at the Genetics and Genome Biology Lab at SickKids Research Institute

Anna is an Assistant Professor of Computer Science and a key scientist in the Genetics and Genome Biology Lab at Sickkids Research Institute. Her research focuses on high-throughput experiments that facilitate data collection. In her laboratory, she works on creating machine learning methods that make such data useful for clinical diagnosis. Her goal is to use machine learning to decipher human disease heterogeneity. Anna earned both her Ph.D. in Computational and Statistical Learning and Masters in Knowledge Discovery & Data Mining at Carnegie Mellon University.

To receive future email notifications about all Girl Geeks Toronto events, sign up to our group on Meetup.

Share with friends

Date and Time

Location

BrainStation

441 King Street West

Toronto, ON M5V 1L7

Canada

View Map

Refund Policy

No Refunds

Save This Event

Event Saved