AI deployments, especially deep learning, have spread rapidly through many verticals, including healthcare, manufacturing, retail, entertainment, and others. Amid this growth are rising concerns over job loss, privacy, safety, robustness, and sustainability. These concerns have skewed the narrative on AI to one of liability, rather than opportunity. It’s time to readjust the lens and recognize the many opportunities for human/AI collaboration. Humans and AI capabilities are more complementary than overlapping. AI excels at tasks that require broad exploration, analysis, and pattern recognition of massive data. Humans excel at learning from very limited data, transferring their knowledge easily to new domains, and making real-time decisions in complex and ambiguous settings. In this session I’ll discuss some of our research in responsible human/AI collaboration.
