Technology Implementation
Manage AI Bias Instead of Trying to Eliminate It
It’s impossible to abolish AI bias in the data behind artificial intelligence models, but companies can remediate it.
Data, AI, & Machine Learning
Latest
Data & Data Culture
Action and Inaction on Data, Analytics, and AI
The human side of data continues to challenge companies.
Thomas H. Davenport and Randy Bean
Customers
Does AI Help Reduce Wasteful Holiday Gifting?
Strategy experts weigh in on the macroeconomics of using AI technology to match people to presents.
MIT SMR Strategy Forum
Data & Data Culture
How AI Is Improving Data Management
Artificial intelligence is quietly improving the management of data, including its quality and security.
Thomas H. Davenport and Thomas C. Redman
Talent Management
Our Guide to the Winter 2023 Issue
This issue of MIT SMR focuses on creating and managing successful, engaged teams in a pandemic-changed world.
MIT Sloan Management Review
AI & Machine Learning
When Algorithms Rule, Values Can Wither
Building responsible AI systems starts with recognizing that technology solutions implicitly prioritize efficiency.
Dirk Lindebaum, Vern Glaser, Christine Moser, and Mehreen Ashraf
Talent Management
How Encouraging AI Use Will Benefit Your Organization
In this webinar, we outline key findings from recent artificial intelligence and business strategy research, including that mandating individual use actually improves employee engagement across multiple dimensions.
Sam Ransbotham, François Candelon, and Allison Ryder
AI & Machine Learning
How to Build Good AI Solutions When Data Is Scarce
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
Rama Ramakrishnan
Skills & Learning
Individual AI Use Can Benefit Organizations
MIT SMR and BCG research team members discuss a recent artificial intelligence study at the Web Summit conference.
Allison Ryder
Data & Data Culture
People Leaders Need Data-Driven Technology Too
Human capital management tools work best when they’re based on data insights and tailored to meet employees’ needs.
Don Weinstein
IT Governance & Leadership
Executives Are Coming to See RAI as More Than Just a Technology Issue
A panel of experts weighs in on whether responsible AI governance extends beyond technology leadership.
Elizabeth M. Renieris, David Kiron, and Steven Mills
Diversity & Inclusion
Improve Your Diversity Measurement for Better Outcomes
Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.
Derek R. Avery, Enrica N. Ruggs, Larissa R. Garcia, Horatio D. Traylor, and Noelle London
Data & Data Culture
Developing Successful Data Products at Regions Bank
Embedding data, analytics, and artificial intelligence into products has been a game changer for businesses.
Thomas H. Davenport and Randy Bean
AI & Machine Learning
Digital First, Physical Second: Wayfair’s Fiona Tan
Wayfair’s CTO describes how the e-commerce retailer uses AI and machine learning to support customers and manage risk.
Sam Ransbotham and Shervin Khodabandeh
Managing Your Career
Achieving Individual — and Organizational — Value With AI
The 2022 MIT SMR-BCG AI and Business Strategy report finds organizations get more value from AI when workers benefit too.
Sam Ransbotham, David Kiron, François Candelon, Shervin Khodabandeh, and Michael Chu
Customers
Investing in the Last Mile: PayPal’s Khatereh Khodavirdi
Data science leader Khatereh Khodavirdi discusses how PayPal uses AI and machine learning for customer personalization.
Sam Ransbotham and Shervin Khodabandeh
AI & Machine Learning
How to Succeed With AI Augmentation
To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.
Thomas H. Davenport, Steven M. Miller, and Abbie Lundberg
Customers
Keeping Humans in the (Feedback) Loop: Orangetheory Fitness’s Ameen Kazerouni
Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.
Sam Ransbotham and Shervin Khodabandeh
AI & Machine Learning
What Machines Can’t Do (Yet) in Real Work Settings
Most companies that are using AI are deploying it for augmentation, not large-scale automation.
Thomas H. Davenport and Steven M. Miller
IT Governance & Leadership
Mature RAI Programs Can Help Minimize AI System Failures
A panel of experts weighs in on whether mature responsible artificial intelligence programs mitigate system failures.