Kathryn Hume is Vice President Product & Strategy for integrate.ai, a SaaS startup applying AI to drive growth and customer satisfaction for large enterprises, and a Venture Partner at ffVC, a seed- and early-stage technology venture capital firm, where she advises early-stage artificial intelligence companies and sources deal flow.
As the former Director of Sales and Marketing at Fast Forward Labs (Cloudera), Kathryn helped Fortune 500 companies accelerate their machine learning and data science capabilities. Prior to that, she was a Principal Consultant in Intapp's Risk Practice, focused on data privacy, security, and compliance. A widely respected speaker and writer on AI, Kathryn excels at communicating how AI and machine learning technologies work in plain language. She has given lectures and taught courses on the intersections of technology, ethics, law, and society at Harvard Business School, Stanford, the MIT Media Lab, and the University of Calgary Faculty of Law. She speaks seven languages, and holds a PhD in comparative literature from Stanford University and a BA in mathematics from the University of Chicago.
Kathryn Hume is passionate about building companies and products that unlock the commercial value of emerging technologies. Alongside her work at integrate.ai, she is a Venture Partner at ffVC, a seed- and early-stage technology venture capital firm, where she advises early-stage artificial intelligence companies and sources deal flow. As the former Director of Sales and Marketing at Fast Forward Labs (Cloudera), Kathryn helped Fortune 500 companies accelerate their machine learning and data science capabilities. Prior to that, she was a Principal Consultant in Intapp's Risk Practice, focused on data privacy, security, and compliance. A widely respected speaker and writer on AI, Kathryn excels at communicating how AI and machine learning technologies work in plain language. She has given lectures and taught courses on the intersections of technology, ethics, law, and society at Harvard Business School, Stanford, the MIT Media Lab, and the University of Calgary Faculty of Law. She speaks seven languages, and holds a PhD in comparative literature from Stanford University and a BA in mathematics from the University of Chicago.
ABOUT integrate.ai:
At integrate.ai, our mission is to build a future in which AI enriches people’s lives while creating better, more valuable businesses. To do this we are building an AI powered platform for B2C enterprises that integrates with business processes to make customer interactions more natural and valuable. Founded by Steve Irvine, former Facebook executive, we are proud to be based in Toronto, Canada at the centre of an exciting AI ecosystem.
DESCRIPTION:
Join us for what's sure to be an awesome night in AI! We're excited to be hosting Kathryn Hume (VP Product and Strategy, integrate.ai) who will talk about "Ethical Algorithms: Bias and Explainability in Machine Learning Systems".
Wine + Beer + Snacks + AI + Networking = The Best Tuesday ever!
ABSTRACT:
Over the past year, discourse about the ethical risks of machine learning has largely shifted from speculative fear about rogue super intelligent systems to critical examination of machine learning's propensity to exacerbate patterns of discrimination in society. This talk explains how and why bias creeps into supervised machine learning systems and proposes a framework businesses can apply to hold algorithmic systems accountable in a way that is meaningful to people impacted by systems. You'll learn why it's important to consider bias throughout the entire machine learning product lifecycle (not just algorithms), how to assess tradeoffs between accuracy and explainability, and what technical solutions are available to reduce bias and promote fairness.
ANNOUNCEMENTS:
1) Check out Nebulas Mainnet 1.0 + new NAS Center in SF!
2) Princeton Quant Conference: Blockchain Workshop By Byte Academy : Sunday, April 22nd 2018 @ Friend Center at Princeton University From 8AM-6PM
2) The Inspiration of AI on Education & Academic Research Summit - Saturday, April 14th
This free summit will bring together top industry professionals from esteemed universities and innovative companies as they discuss the impact of AI on education, intellectual property, and research. Be sure to stick around to network with like-minded experts at the following evening cocktail reception.
3) "Architecting Data+Science Communities" - Thursday, April 5th
Join the founder of the Machine Learning Society and the CO, Science & Tech social network on April 5th and Moody's HQ in downtown for a fireside chat about "Architecting Data+Science Communities"
NEXT NYAI EVENTS:
1) Humanizing AI & Machine Learning Workshop - Thurs, Apr 24th
Join us in a workshop for Empathy Mapping for the Machine re: self driving cars with Chris Butler (Director of AI, Philosphie). This workshop is for data scientists, engineers, designers, product managers, executives, and stakeholders to build alignment without using AI jargon. Teams that are being asked to “do something interesting with AI/ML” will finally have an answer. Get your tickets here!
2) NYAI #21 - Tues, Jun 19th - Topic: TBD
Kathryn Hume (VP Product & Strategy, integrate.ai)
