Technology Implementation
How Tech Fails Late-Career Workers
Age-related cognitive changes can hinder workers’ technology use, but these strategies can help managers support them.
Technology Implementation
Latest
AI & Machine Learning
The Working Limitations of Large Language Models
Understanding large language models’ limitations can help users discern which tasks they are and are not well suited for.
Talent Management
AI Unlocks New Power for Employees: Are HR Leaders Ready?
HR teams must prepare for generative AI’s effects on workers’ job roles, training, and access to information.
Automation
Harnessing Grassroots Automation
With a modest amount of training, nontechnical employees can automate complex processes.
Technology Implementation
Why the Power of Technology Rarely Goes to the People
In a Q&A, Power and Progress authors Daron Acemoglu and Simon Johnson discuss the social impact of technological change.
Technology Implementation
Don’t Get Distracted by the Hype Around Generative AI
Hype around generative AI tools like ChatGPT impede business leaders’ ability to make well-informed technology choices.
IT Governance & Leadership
Are Responsible AI Programs Ready for Generative AI? Experts Are Doubtful
Do responsible AI programs effectively address the risks of generative artificial intelligence tools? Experts weigh in.
AI & Machine Learning
Moving Beyond Islands of Experimentation to AI Everywhere
It may make sense to start AI efforts with isolated experiments, but new structures are needed to reap broader benefits.
IT Governance & Leadership
Responsible AI at Risk: Understanding and Overcoming the Risks of Third-Party AI
Do responsible AI programs address the risks of third-party artificial intelligence tools? A panel of experts weighs in.
Technology Implementation
A Better Way to Pilot Emerging Technologies
Research suggests leaders should focus on a use case for cutting-edge technologies first, then develop a business case.
Technology Innovation Strategy
Our Guide to the Spring 2023 Issue
This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.
AI & Machine Learning
The No. 1 Question to Ask When Evaluating AI Tools
Understanding how AI algorithms are trained and validated can help decision makers pick the right tools and avoid risk.
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.
AI & Machine Learning
Increasing AI Tool Adoption by Front-Line Workers
Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.
Talent Management
A Change in Perspective
MIT SMR’s summer 2022 issue addresses the challenges of C-suite turnover, end users’ AI anxiety, and employee motivation.
AI & Machine Learning
AI on the Front Lines
Successful AI adoption requires developers to think beyond business goals and address end users’ workflow concerns.
AI & Machine Learning
Predicting Volatility and Risk: Nasdaq’s Doug Hamilton
Nasdaq’s Douglas Hamilton explains how his AI research team supports business units for the global exchange operator.
Analytics & Business Intelligence
Developing an Appetite for AI: ExxonMobil’s Sarah Karthigan
ExxonMobil’s Sarah Karthigan discusses leading AI projects that focus on self-healing strategies for IT operations.
Content Sponsored by Deloitte
Trustworthy and Ethical Tech: The Leadership Challenge
Deloitte thought leaders discuss how to develop a holistic approach to the ethical use of technology.
Technology Implementation
Taming AI’s Can/Should Problem
Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.
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