Ethics

This issue of MIT SMR focuses on the leadership qualities that enable both their businesses and employees to grow.

Stronger ethical leadership at some pharma companies may have meant more equitable access to COVID-19 vaccines.

Businesses must thoroughly evaluate the risk of deploying a new technology to avoid reputational and financial damage.

Biometric technologies raise new issues of surveillance and privacy that can put customer trust at risk.

This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.

Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.

When humans are in the loop with an AI system, they may not feel a sense of responsibility to intervene if things go wrong.

Leaders who explore, evaluate, and refine their values set themselves up to make better decisions.

These tips can help leaders develop their own and employees’ ability to apply ethical judgment in difficult situations.

Sharing values with customers builds loyalty and can be a valuable differentiator in competitive markets.

Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.

The Me, Myself, and AI podcast’s discussion of AI’s risks with Amnesty Tech’s Matt Mahmoudi and Damini Satija continues.

On the Me, Myself, and AI podcast, Amnesty International’s Matt Mahmoudi and Damini Satija discuss AI’s societal risks.

On the Me, Myself, and AI podcast, Airbnb’s Naba Banerjee explains how machine learning helps protect hosts and guests.

The 2023 MIT SMR-BCG responsible AI report finds that third-party AI tools pose increasing risks for organizations.

MIT Sloan Management Review’s summer 2023 issue includes a look at the risks and potential rewards of generative AI.

Instagram’s Stephanie Moyerman discusses AI’s role in supporting social media safety on the Me, Myself, and AI podcast.

Four steps managers can take to help establish a culture of trust and honesty in remote and hybrid work environments.

A study points to evidence-based practices that can make employees feel safer speaking up about ethics concerns at work.

UC Berkeley’s Ziad Obermeyer discusses how machine learning and AI are being used for medical research and diagnoses.