IT Governance & Leadership
AI Explainability: How to Avoid Rubber-Stamping Recommendations
Experts debate if human oversight can replace the need for the explainability of AI systems.
Experts debate if human oversight can replace the need for the explainability of AI systems.
The Me, Myself, and AI episode features CVS Health’s Josh Weiner with hosts Sam Ransbotham and Shervin Khodabandeh.
Data science leader Khatereh Khodavirdi discusses how PayPal uses AI and machine learning for customer personalization.
Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.
Business — and society — should think of the governance of AI as an enabler rather than a constraint.
To sell your ideas, you have to understand what your particular audience needs to hear.
MIT SMR and MIT Press join to launch new book series exploring the digital frontiers of management.
Multinationals need to start viewing market intelligence as a strategic asset in emerging markets.
Digital tools can reshape the relationship between organizations and retiring employees.
The Winter 2016 issue of MIT SMR explores how transparency effects the power structure.
It’s easier to make good decisions if you remove yourself from information overload and consider choices more abstractly.
What differentiates data scientists from other quantitative analysts? It’s partly their skill set and partly their mind set.
Six scholarly articles offer intriguing insights into factors that can affect the decision-making process.
Simulations can help shrink the gap between what analysts try to explain and what decision makers understand.
A recent survey sheds light on what large organizations are actually doing with big data initiatives.
Information technology matters when a company works backward from the value it wants to create.