Ethics

How is data used to lead, mislead, manipulate, and inform viewpoints and decisions? The MIT Institute for Data, Systems, and Society investigates.

Take time now to understand the challenging questions about AI and ethics that firms will face in the years ahead.

Evolution can drive prejudices, MIT Sloan economist Andrew Lo finds. To nurture group wisdom, biases in data sets must be documented and understood.

An AI productivity boom is coming. Here’s what managers need to know to roll out intelligent technology that’s ethical and worker-centric.

A new survey shows firms are falling short in developing AI systems that are good for individuals and society while still transforming business.

Four reasons stakeholders don’t trust AI systems, and how companies can overcome them.

New research finds a connection between compliance with workplace regulations and the hazards they’re meant to prevent.

Successful and ethical artificial intelligence programs take into account behind-the-scenes ‘repair work’ and ‘ghost workers.’

A new MIT Sloan Experts Series talk explains how algorithms and humans can work together to compensate for blind spots and create clearer outcomes.

A new study of financial advisors finds that middle managers are crucial to understanding the prevalence of misconduct.