Ethics

Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.

Connecting through collaboration and conflict, preventing leader derailment, and assessing the impact of leaders’ unethical requests.

When leaders ask employees to cross ethical lines, they risk reducing workers’ long-term performance.

Employers can vet people more ethically and accurately with explainable AI.

Rethinking political donations, creating a human-centered company, and how good citizenship sparks bad behavior.

The days of claiming to be apolitical while buying influence through donations to politicians should be over.

When team members do good deeds, their leaders can be susceptible to bad behavior. Here’s why.

Preserving public trust, evaluating a female-focused recession, and regulating a tech crisis.

Business — and society — should think of the governance of AI as an enabler rather than a constraint.

Employee surveillance practices are increasing along with remote work arrangements. But can companies do it ethically?

Data-driven culture, ethics and compliance standards for pandemic aid, and effective global operations.

Companies offering aid in a crisis must clarify the ethical and legal ramifications of their actions.

Companies can better support individual and community well-being through a people-centered approach to profitability.

MIT Sloan’s Sinan Aral discusses social media as a marketing tool that can have a positive impact — if used ethically.

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.