NYU

A research institute examining the social implications of artificial intelligence

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The AI Now 2017 Report is up. Check out our overview or read our press release for more.

The AI Now Institute at New York University is an interdisciplinary research center dedicated to understanding the social implications of artificial intelligence. Our work focuses on four core domains:

Rights & Liberties

Rights & Liberties

As artificial intelligence and related technologies are used to make determinations and predictions in high stakes domains such as criminal justice, law enforcement, housing, hiring, and education, they have the potential to impact basic rights and liberties in profound ways. AI Now is partnering with the ACLU and other stakeholders to better understand and address these impacts.

Labor & Automation

Labor & Automation

Automation and early-stage artificial intelligence systems are already changing the nature of employment and working conditions in multiple sectors. AI Now works with social scientists, economists, labor organizers, and others to better understand AI's implications for labor and work – examining who benefits and who bears the cost of these rapid changes.

Bias & Inclusion

Bias & Inclusion

Data reflects the social, historical and political conditions in which it was created. Artificial intelligence systems ‘learn’ based on the data they are given. This, along with many other factors, can lead to biased, inaccurate, and unfair outcomes. AI Now researches issues of fairness, looking at how bias is defined and by whom, and the different impacts of AI and related technologies on diverse populations.

Safety & Critical Infrastructure

Safety & Critical Infrastructure

As artificial intelligence systems are introduced into our core infrastructures, from hospitals to the power grid, the risks posed by errors and blind spots increase. AI Now studies the way in which AI and related technologies are being applied within these domains and to understand possibilities for safe and responsible AI integration.

Rights & Liberties

As artificial intelligence and related technologies are used to make determinations and predictions in high stakes domains such as criminal justice, law enforcement, housing, hiring, and education, they have the potential to impact basic rights and liberties in profound ways. AI Now is partnering with the ACLU and other stakeholders to better understand and address these impacts.

Labor & Automation

Automation and early-stage artificial intelligence systems are already changing the nature of employment and working conditions in multiple sectors. AI Now works with social scientists, economists, labor organizers, and others to better understand AI's implications for labor and work – examining who benefits and who bears the cost of these rapid changes.

Bias & Inclusion

Data reflects the social, historical and political conditions in which it was created. Artificial intelligence systems ‘learn’ based on the data they are given. This, along with many other factors, can lead to biased, inaccurate, and unfair outcomes. AI Now researches issues of fairness, looking at how bias is defined and by whom, and the different impacts of AI and related technologies on diverse populations.

Safety & Critical Infrastructure

As artificial intelligence systems are introduced into our core infrastructures, from hospitals to the power grid, the risks posed by errors and blind spots increase. AI Now studies the way in which AI and related technologies are being applied within these domains and to understand possibilities for safe and responsible AI integration.

Latest

Postdoctoral Fellowships

Now accepting applications for our 2018-2020 class

AI Now is looking for several exceptional postdoctoral researchers whose work resonates with the Institute's mission. All disciplines encouraged to apply.

Latest

AI Now 2017 Report

With key recommendations for the field of artificial intelligence

With support from the John D. and Catherine T. MacArthur Foundation, the AI Now Institute is happy to release our 2nd annual report, outlining the state of current research, what's at stake, and a set of key recommendations for the field.

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