Artificial intelligence (AI) algorithms are increasingly being used behind the scenes by companies to make all manner of business decisions. How these algorithms are set up to work is not often visible to people who are guided by them in functions across companies, from HR and finance to sales and more. As the applications expand exponentially, it introduces a whole new set of complex challenges behind automated decisions, such as poor data quality, bias, ignorance, and more. Hand-in-hand with this comes the issue of trust and creation of new trust tools to support greater adoption.

Human professionals receive reviews, training, coaching, and are subject to a system of checks and balances to make needed corrections. Is it time to start treating algorithms in a similar way? How should companies think about managing the ecosystem of algorithms they are using? What guidelines and processes are needed?

Join Warren Barkley, general manager, AWS Machine Learning Group, Amazon Web Services; Paula Goldman, chief ethical and humane use officer of Salesforce; Rachel Thomas, founding director of USF Center for Applied Data Ethics and co-founder of fast.ai; and Yonatan Zunger, distinguished engineer and chief ethics officer, Humu, for this timely and provocative discussion led by Kevin Collins of Accenture.

Speakers:
- Warren Barkley, General Manager, AWS Machine Learning Group, Amazon Web Services
- Paula Goldman, Chief Ethical and Humane Use Officer, Salesforce
- Rachel Thomas, Founding Director, USF Center for Applied Data Ethics; Co-founder, fast.ai
- Yonatan Zunger, Distinguished Engineer and Chief Ethics Officer, Humu
- Moderator: Kevin Collins, Managing Director, Software & Platform Services, Accenture

In partnership with: Accenture