Decision-Making

Agility can lead to negative outcomes if leaders don’t recognize the pitfalls in its processes.

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

Not defining a problem well is one of the biggest obstacles to good decisions; use this simple story structure to help.

Decisions that have moral consequences often require sustained and systematic consideration.

Mentors can help redefine the rhetoric of success that rewards work at the cost of well-being.

Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.

This issue of MIT SMR focuses on customer relationships and their connection to innovation and value.

Repeating false claims increases their believability, leaving business leaders vulnerable to faulty decision-making.

Categorizing decisions by riskiness and urgency helps clarify when to involve higher-ups.

When we rely on machines to make decisions, we substitute data-driven calculations for human judgment.

Make better choices about which R&D projects gain funding by managing bias and involving more people.

New research shows that an individual’s decision-making style informs the choices they make when using AI-based inputs.

Deloitte thought leaders discuss how to develop a holistic approach to the ethical use of technology.

The emotional desire for certainty often keeps us from seeing other perspectives and understanding how decisions get made.

Etsy CTO Mike Fisher discusses developing as a leader, speaking the language of business, and being open to change.

Nudges for less-biased hiring, networking to drive inclusion, and defusing opposition to racial equity initiatives.

Evaluators can be nudged to make less biased decisions in hiring and other contexts.

Creating consistently great business strategies demands systematic constructive debate and logical rigor.

The authors describe three key challenges leaders face in communicating pandemic data and how to address them.

To deliver on the promise of AI, leaders must focus on improving their organization’s culture and decision-making capabilities.