Center For Responsible AI At NYU

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Center for Responsible AI at NYU is a research and education center focused on building a future where responsible AI is synonymous with AI. It conducts interdisciplinary research, technology policy, and education.

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Pricing

Likely Free

Free tier

Yes

API

Skill level

Technical

About

What is Center for Responsible AI at NYU?

The Center for Responsible AI at New York University is dedicated to making the design, development, and use of AI socially sustainable. Its core mission revolves around interdisciplinary research, shaping technology policy, and providing education and training for AI practitioners, decision-makers, and the general public. The center emphasizes respecting human values, ensuring fairness, maintaining transparency, and upholding accountability in AI. It aims to move beyond hype and magical thinking, empowering individuals to understand, control, and take responsibility for AI-assisted decisions. Key areas of focus include data-centric AI, explainability, fairness, policy and regulation, privacy and safety, and ranking and matching.

Best used for

Ideal for academics and policymakers who need to research ethical implications of AI, develop responsible AI policies, and educate the public on AI's societal impact. Especially valuable for those seeking to integrate human values and accountability into AI systems.

Common actions

research AI ethics

develop AI policy

educate on AI responsibility

analyze algorithmic fairness

Capabilities

Key features

Interdisciplinary AI research
Technology policy development
AI education programs
Responsible data science
Algorithmic transparency
Fairness and privacy research

Target Audience

professorresearcherstudent

Integrations

Not yet documented

Pricing & Plans

Likely Free

Not publicly disclosed. Check airesponsibly.com for current pricing.

FAQs

What specific areas of AI research does the Center for Responsible AI focus on?

The center conducts research across several key areas, including data-centric AI, explainability, fairness, policy and regulation, privacy and safety, and ranking and matching. This interdisciplinary approach aims to address the multifaceted challenges of responsible AI.

Who is the target audience for the Center's educational programs?

The Center provides education and training for a broad audience, including AI practitioners, decision-makers, and the public at large. This ensures a wide understanding of responsible AI principles and practices across various sectors.

How does the Center define 'responsible AI'?

Responsible AI, as defined by the Center, means making the design, development, and use of AI socially sustainable. It involves respecting human values, ensuring fairness, maintaining transparency, upholding accountability, and enabling people to understand and control AI-assisted decisions.

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