Redesigning AI

Here Come the Robot Nurses

The pandemic increased demand and possibilities for automating care, but doing so may deliver racist stereotypes and unemployment for women of color.

Workplace Training in the Age of AI

To support the work of the future, we must promote workers’ skills as crucial to technological progress.

Stop Building Bad AI

Justice demands that we think not just about profit or performance, but above all about purpose.

AI Can Still Be Redirected

Final response: It is not too late to put technology to work to create jobs and opportunities and to support individual freedom and democracy.

Why AI Needs Academia

The frontier of AI science should be in universities.

Beyond the Automation-Only Approach

AI doesn’t have to be a total substitution. It can be a supplement.

Decolonizing AI

Algorithmic oppression is rooted in the colonial project.

Technology Is Unlikely to Create Shared Prosperity

We must rethink the connection between employment and economic growth.

How the Pandemic Might Shape the Fight Against Automation

We must also address the interrelated challenges created by the pandemic.

The Punitive Potential of AI

The problems go beyond the abstractions of democracy and liberty. New workplace technologies cater to punitive practices.

A World with Less Work

The threat of automation requires stronger labor policy proposals.

Between Dystopia and Utopia

AI/human “collaboration” is not the answer to the threat of automation.

Augmentation, Not Automation

When it comes to AI’s effect on the workforce, the real challenge is wages, not jobs.

The Means of Prediction

Discussions about “fairness” don’t go far enough. We need to think more deeply about who controls data and algorithms.

AI’s Future Doesn’t Have to Be Dystopian

AI can be used for good—but only if we modify our approach.

From the Editors: Redesigning AI

Our new book offers a deeper understanding of the current challenges of AI and a rich, constructive, morally urgent vision for redirecting its course.

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