Human - AI Collaboration Framework and Case Studies
Publication/Creation DateSeptember 1 2019
Description"Developing best practices on collaborations between people and AI systems – including issues of transparency and trust, responsibility for specific decisions, and appropriate levels of autonomy – depends on a nuanced understanding of the nature of those collaborations. For example, a human interacting one-on-one with a I on a consumer website requires different features and responses than one, or perhaps even a group of individuals, sitting in an autonomous vehicle.
With these issues in mind, the Partnership on AI, with members of its Collaborations Between People and AI Systems Expert Group, has developed a Human-AI Collaboration Framework containing 36 questions that identify some characteristics that differentiate examples of human-AI collaborations. We have also prepared a collection of seven Case Studies that illustrate the framework and its applications.
This project explores the relevant features one should consider when thinking about human-AI collaboration, and how these features present themselves in real-world examples. By drawing attention to the nuances – including the distinct implications and potential social impacts – of specific AI technologies, the Framework can serve as a helpful nudge toward responsible product/tool design, policy development, or even research processes on or around AI systems that interact with humans."
, Technical Communication
, Professional Communication
, Civic Engagement
, Mental Health
Date archivedOctober 13 2020
Last editedJuly 5 2021