Blueprint for an AI Bill of Rights
The Blueprint for an AI Bill of Rights is a guide issued by the White House Office of Science and Technology Policy to protect the American public from harms caused by automated systems and artificial intelligence. It outlines five core principles: safe and effective systems, algorithmic discrimination protections, data privacy, notice and explanation, and human alternatives, consideration, and fallback. The framework is designed to ensure that the development and deployment of new technologies respect civil rights, democratic values, and equal opportunity.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
This document is for anyone seeking to incorporate civil rights protections into the design, policy, and practice of automated systems.
What the document contains
The document addresses five core principles designed to protect the American public from harms caused by automated systems and artificial intelligence. It establishes guidelines for safety, equity, privacy, transparency, and human recourse across sectors where technology impacts civil rights, equal opportunities, and access to critical services.
The text serves as a policy framework and guide rather than legally binding regulations, statutory legislation, or an enforcement code with specific penalties.
- Automated systems should be developed and deployed with safeguards to ensure they are safe and effective.
- Individuals must be protected from algorithmic discrimination and unjustified differential treatment.
- Built-in data privacy protections should guard users against abusive data practices and unchecked surveillance.
- Users have a right to clear, timely, and accessible notice and explanation regarding the use of automated systems.
- People should be able to opt out where appropriate and have access to timely human consideration and remedy.
· What is the Blueprint for an AI Bill of Rights? · Applying the Blueprint for an AI Bill of Rights · Relationship to Existing Law and Policy · Definitions · From Principles to Practice - Safe and Effective Systems - Algorithmic Discrimination Protections - Data Privacy - Notice and Explanation - Human Alternatives, Consideration, and Fallback · Examples of Automated Systems · Listening to the American People · About this Document
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Fairness
4/5Non-discrimination and equitable treatment
Designers, developers, and deployers of automated systems should take proactive and continuous measures to protect individuals and communities from algorithmic discrimination and to use and design systems in an equitable way.
Algorithmic Discrimination Protections
screening score · 2026-10-23
Human Dignity
3/5Respect for the inherent worth of persons
Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public.
Introduction
screening score · 2026-10-23
Human Oversight
4/5Humans remain in control of consequential decisions
You should have access to timely human consideration and remedy by a fallback and escalation process if an automated system fails, it produces an error, or you would like to appeal or contest its impacts on you.
Human Alternatives, Consideration, and Fallback
screening score · 2026-10-23
Privacy
4/5Protection of personal data and private life
You should be protected from abusive data practices via built-in protections and you should have agency over how data about you is used.
Data Privacy
screening score · 2026-10-23
Transparency
4/5Openness about how AI systems work and are used
Designers, developers, and deployers of automated systems should provide generally accessible plain language documentation including clear descriptions of the overall system functioning and the role automation plays
Notice and Explanation
screening score · 2026-10-23
Enforcement
1/5Consequences and compliance mechanisms with real force
Outcomes of these protective measures should include the possibility of not deploying the system or removing a system from use.
Safe and Effective Systems
screening score · 2026-10-23
Impact Assessment
4/5Required assessment of an AI system's risks/impacts before or during use
Systems should undergo pre-deployment testing, risk identification and mitigation, and ongoing monitoring that demonstrate they are safe and effective based on their intended use
Safe and Effective Systems
screening score · 2026-10-23