The era of data-assisted driving is already at hand in some industries, and it will be arriving soon in multiple markets. In this session, Hadley Reynolds and Susan Feldman, co-founders of the Cognitive Computing Consortium, will share the results of their recent research - not into autonomous vehicles - but into how understanding the complex challenges that confront the widespread adoption of self-driving cars can help developers of a wide range of cognitive applications succeed in moving from idea to adoption.
They will address a range of core issues, including: understanding application requirements for autonomy versus cognitive assistant approaches; matching data ranges to application contexts; designing human interfaces that encourage serendipity; accommodating the drift and perplexity of learning systems; establishing thresholds for trust; and coming to terms with moral and ethical responsibilities. Each cognitive application project must confront these kinds of considerations and overcome these design challenges. The research from the Cognitive Computing Consortium helps make developers from all industries smarter and more thoughtful as they undertake this important work.