Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Yiannis Kanellopoulos

Yiannis Kanellopoulos
Founder, Code4Thought

Website | @ykanellopoulos

Yiannis Kanellopoulos has spent the better part of two decades analyzing and evaluating software systems in order to help organizations address any potential risks and flaws related to them. (In his experience, these risks or flaws are always due to human involvement.) With Code4Thought, Yiannis is turning his expertise into democratizing technology by rendering algorithms transparent and helping organizations become accountable. Targeted outcomes of his work include building trust between the organization utilizing the algorithms and those affected by its output and rendering the algorithms more persuasive, since their reasoning will be easier to explain. He’s also a founding member of Orange Grove Patras, a business incubator sponsored by the Dutch Embassy in Greece to promote entrepreneurship and counter youth unemployment. Yiannis holds a PhD in computer science from the University of Manchester.

Sessions

1:30pm–1:45pm Tuesday, March 26, 2019
On the accountability of black boxes: How to control what you can’t exactly measure
Case studies
 Location: 2024
Yiannis Kanellopoulos (Code4Thought)
Average rating: ****.
(4.67, 3 ratings)
Black box algorithmic systems make decisions that have a great impact in our lives. Thus, the need for their accountability and transparency is growing. Code4Thought created an evaluation model reflecting the state of practice in several organizations. Yiannis Kanellopoulos explores this model and shares lessons learned from its application at a financial corporation. Read more.
2:30pm–3:00pm Tuesday, March 26, 2019
Panel: Solutions
Location: 2024
Yiannis Kanellopoulos (Code4Thought), Rumman Chowdhury (Accenture), Kathy Baxter (Salesforce), Carole Piovesan (INQ Data Law), Stuart Buck (Arnold Ventures)
Average rating: ****.
(4.50, 4 ratings)
We've looked at some possible solutions. But a more complete perspective includes what's right and where we're making mistakes—from the reproducibility of social sciences to the regulations of governments. We wrap up our look at possible solutions with a group discussion. Read more.