From autonomous driving vehicles that use computer vision to live translations made possible by artificial neural networks, AI is reimagining human interactions and outcomes. As AI-based decisions have increasing impact on human lives, a new imperative becomes clear: businesses now need to “raise” their AI systems so that they reflect business and societal norms of responsibility, fairness, and transparency. This means addressing many of the same challenges faced in human education and growth: fostering an understanding of right and wrong and what it means to behave responsibly, imparting knowledge without bias, and building self-reliance while emphasizing the importance of collaborating and communicating with others.
Responding to the Accenture Technology Vision 2018 survey, 72% of executives report that their organizations seek to gain customer trust and confidence by being transparent in their AI-based decisions and actions. Kishore Durg and Teresa Escrig explain how you can teach and test your AI systems to validate the safety, reliability, and transparency of your AI systems.
This session is sponsored by Accenture.
Kishore Durg is the growth and strategy lead for Accenture Technology Services, where he helps in ventures and acquisitions, technology strategy, and strategic growth initiatives. Kishore also leads the global Accenture Testing Services Group, focusing on testing business strategy, sales, automation, AI, alliances, and platforms.
Teresa Escrig is an AI innovation lead at Accenture Technology. Previously, Teresa was a researcher and professor in AI, including the areas of qualitative modeling, cognitive vision, robotics, and cybersecurity. She is the author of three books and more than 100 research articles and is the recipient of numerous awards.
©2018, O'Reilly Media, Inc. • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • email@example.com