Machines as thought partners
AI systems should not only propose solutions or answers but also explain why they make sense. Statistical machine learning is a powerful tool for discovering patterns in data, but, David Ferrucci asks, can it produce understanding or enable humans to justify and take reasoned responsibility for individual outcomes?
| Talk Title | Machines as thought partners |
| Speakers | David Ferrucci (Elemental Cognition) |
| Conference | O’Reilly Artificial Intelligence Conference |
| Conf Tag | Put AI to Work |
| Location | New York, New York |
| Date | June 27-29, 2017 |
| URL | Talk Page |
| Slides | |
| Video | Talk Video |
AI systems should not only propose solutions or answers but also explain why they make sense. Statistical machine learning is a powerful tool for discovering patterns in data, but, David Ferrucci asks, can it produce understanding or enable humans to justify and take reasoned responsibility for individual outcomes? David offers an overview of Elemental Cognition, a company focused on creating AI systems that autonomously learn from human language and interaction to become powerful and fluent thought partners that facilitate complex decision making. Specifically, Elemental Cognition investigates a future in which AI is a powerful amplifier of human creativity—a system that leverages statistical machine learning but focuses primarily on a type of learning that enables humans and machines to share an understanding and collaborate on exploring the question, “Why?”
