Artificial intelligence (AI) is transforming our world, ushering in new possibilities while also raising concerns about privacy, biases, and misinformation. To address these risks, the Allen Institute for AI (AI2) in Seattle is taking a groundbreaking approach. The institute has recently launched the Impact License Project (ImpACT), a family of licenses designed to promote transparency and mitigate dangers in the field of AI.
ImpACT licenses, inspired by AI2’s core values of impact, accountability, collaboration, and transparency, aim to reduce risks associated with AI models and datasets. Unlike traditional licenses that focus on specific artifacts, ImpACT licenses are risk-based and agnostic to the type of artifact. This means they can be readily applied to any downstream model or application.
What sets ImpACT licenses apart is the multidisciplinary assessment process. A group of lawyers, ethicists, and scientists assign risk categories (low, medium, and high) based on the potential impact of the AI artifact. This holistic approach ensures a well-rounded evaluation of the risks involved.
Transparency plays a vital role in ImpACT licenses. Through Derivative Impact Reports, developers provide comprehensive information about the artifacts, including intended uses, funding sources, energy consumption, and data provenance. This transparency empowers researchers, developers, and users to better understand the nature of the AI artifacts they are working with.
Furthermore, ImpACT licenses encourage oversight by the community. The open nature of the information facilitates public reporting of violators and sets disclosure requirements for intended uses and project inputs. This crowdsourced approach ensures that community values are respected and provides a scalable framework for AI development.
While ImpACT licenses cover AI artifacts like models and datasets, they do not apply to software and source code, which will continue to be licensed under existing schemes.
This new approach to AI risk management and transparency is a significant step forward. It addresses the growing concerns about AI risks and challenges by fostering an open and community-driven environment. Through ImpACT licenses, the Allen Institute for AI is leading the way for a safer and more accountable AI landscape.
What is the ImpACT License Project?
The ImpACT License Project is a pioneering initiative by the Allen Institute for AI (AI2). It introduces a family of risk-based licenses designed to promote transparency and mitigate risks associated with artificial intelligence.
How are ImpACT licenses different?
Unlike traditional licenses, ImpACT licenses focus on the potential risk of AI artifacts rather than the specific type of artifact. This risk-based approach allows them to be readily applied to any downstream model or application.
How does the evaluation process work?
ImpACT licenses employ a multidisciplinary assessment process involving lawyers, ethicists, and scientists. They assign risk categories (low, medium, and high) based on a holistic evaluation of the AI artifacts’ potential impact.
What information is disclosed in Derivative Impact Reports?
Derivative Impact Reports provide comprehensive information about the AI artifacts, including intended uses, funding sources, energy consumption, and data provenance. This transparency empowers users to better understand the nature of the AI artifacts they work with.
How does community oversight play a role?
ImpACT licenses encourage community oversight by facilitating public reporting of violators and setting disclosure requirements for intended uses and project inputs. This fosters a community-driven approach to AI development and ensures alignment with community values.