Accountability of AI Under the Law: The Role of Explanation

11/03/2017
by   Finale Doshi-Velez, et al.
0

The ubiquity of systems using artificial intelligence or "AI" has brought increasing attention to how those systems should be regulated. The choice of how to regulate AI systems will require care. AI systems have the potential to synthesize large amounts of data, allowing for greater levels of personalization and precision than ever before---applications range from clinical decision support to autonomous driving and predictive policing. That said, there exist legitimate concerns about the intentional and unintentional negative consequences of AI systems. There are many ways to hold AI systems accountable. In this work, we focus on one: explanation. Questions about a legal right to explanation from AI systems was recently debated in the EU General Data Protection Regulation, and thus thinking carefully about when and how explanation from AI systems might improve accountability is timely. In this work, we review contexts in which explanation is currently required under the law, and then list the technical considerations that must be considered if we desired AI systems that could provide kinds of explanations that are currently required of humans.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/20/2023

The Case Against Explainability

As artificial intelligence (AI) becomes more prevalent there is a growin...
research
11/25/2021

Non-Asimov Explanations Regulating AI through Transparency

An important part of law and regulation is demanding explanations for ac...
research
03/14/2023

The AI Act proposal: a new right to technical interpretability?

The debate about the concept of the so called right to explanation in AI...
research
04/25/2023

An Audit Framework for Adopting AI-Nudging on Children

This is an audit framework for AI-nudging. Unlike the static form of nud...
research
03/13/2020

Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

The recent enthusiasm for artificial intelligence (AI) is due principall...
research
01/20/2022

AI Technical Considerations: Data Storage, Cloud usage and AI Pipeline

Artificial intelligence (AI), especially deep learning, requires vast am...
research
06/24/2023

Manipulation Risks in Explainable AI: The Implications of the Disagreement Problem

Artificial Intelligence (AI) systems are increasingly used in high-stake...

Please sign up or login with your details

Forgot password? Click here to reset