Ethics

The specific cultural factors that predict whether employees are happy (and will stay) aren’t what you might think.

In artificial intelligence, race and gender too often generate a bias double whammy.

Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

In our new spring issue: platform-based ecosystems, blockchain, data failures, and misbehaving leaders.

Six ways to support human rights; ethical monitoring of remote workers; customer-focused cost-cutting.

Companies can and should take meaningful action in response to human rights abuses by governments.

Organizations need to develop more-robust processes to ensure responsible use of AI.

SAP’s Max Wessel explains why advisory board guidance is critical in innovation.

How to boost innovation capacity and institutional pride, and addressing tech inequity and the ethics of automation.

The increasing adoption of AI and robots has implications for jobs, biases, and data privacy.

Disruption detection and delusions, ethical implications of new technologies, and nudge engines.

Executives face a new ethical paradigm as technology reshapes value chains across industries.

MIT SMR authors David Bray and R “Ray” Wang discuss how people-centered design principles can serve as a framework in AI implementation.

Just because a company can build an AI-infused product doesn’t mean it should.

The speed at which digital news travels means leaders must look carefully at potential risks.

Some want big tech companies broken up. Others call for stiffer industry oversight. Who’s right?

The winner of the 2018 Beckhard Prize is “Building an Ethically Strong Organization,” by Catherine Bailey and Amanda Shantz.

To avoid bias, people-centered design principles must be the foundation of deep-learning algorithms.

The time when companies could simply ask the world to trust AI-powered products is long gone.