What’s next for AI: In their own words

Kevin Kelly
Best-selling tech

Mark Sagar
Oscar-winning AI engineer

Chieko Asakawa
Accessibility research pioneer & IBM Fellow

Yoshua Bengio
Preeminent deep learning researcher

Margaret Boden
Veteran AI & cognitive scientist

The new AI innovation equation

Thought leaders and scientists largely agree on the confluence of forces that have advanced artificial intelligence: the rise of big data, the emergence of powerful GPUs for complex computations and the re-emergence of a decades-old AI computation model—deep learning. What are the catalysts for the next wave of innovation?


How conversation (with context) will usher in the AI future

Conversation has been the most powerful way humans communicate with each other for thousands of years. AI visionaries believe that in just three to five years, computer conversational abilities will advance significantly, paving the way for a bevy of life-changing AI applications. How will conversation advance and what are the possible applications?

Building trust in AI

AI is now in our living rooms and cars and, often, our pockets. As it becomes more pervasive, we’ve begun to entrust it with increasingly greater responsibility. But as AI becomes even more adept at performing a wider array of complex tasks, how can we build user trust in its expanding capabilities?


The quest for AI creativity

Creative professionals are increasingly embracing digital tools to create extraordinary works of art. AI has begun its foray into the creative digital toolbox, having already helped write pop ballads, mimicked the styles of great painters and informed creative decisions in filmmaking. How far can—or should—AI go in the creative process?