Does My AI Help or Hurt? Exploring Human-AI Complementarity

Abstract

In a world where the use of AI is growing and evolving, where will we be in 5 years? 10 years? 20 years? What role will AI play in our society, and how will humans and AI interact? While there will undoubtedly be scenarios where AI systems will be able to outperform humans, there will also continue to be instances where humans will be a critical part of the process. As researchers explore improvements to AI systems, we also need to explore the interplay between humans and AI, and continue to evolve our understanding of how humans and AI systems can work together, effectively harnessing the benefits of both systems [3]. Designing effective interaction between the human and the AI systems is critical for future use of Human-AI systems [1]. Merely building an AI system that blindly sends recommendations to users has been shown in some cases to decrease human performance [2]. Different models can also have differential impact on user's trust of the model, adherence to the recommendation, and can impact bias in decision making tasks. This talk will highlight important directions for Human-AI research.