Sustainability
How Developers Can Lower AI’s Climate Impact
Artificial intelligence developers can make choices that will reduce the emissions generated by AI training models.
Managing Technology
Latest
AI & Machine Learning
Preparing Your Organization for a Generative Future
This webinar from MIT SMR offers guidance to help business leaders thoughtfully plan a generative AI implementation.
AI & Machine Learning
Finding Transformation Opportunities With Generative AI
This webinar from MIT SMR explores key areas in which generative AI could transform existing ways of doing business.
AI & Machine Learning
Generative AI Demystified: What It Really Means for Business
This webinar from MIT SMR covers the basics of generative AI and explores business use cases for the emerging technology.
Security & Privacy
Adding Cybersecurity Expertise to Your Board
Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.
Data & Data Culture
Operational Safety With AI: Chevron’s Ellen Nielsen
On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.
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.
AI & Machine Learning
Use Open Source for Safer Generative AI Experiments
Companies that want to experiment with generative AI might find open-source models a safer bet than commercial options.
Ethics
AI Ethics at Unilever: From Policy to Process
Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.
AI & Machine Learning
Are RAI Programs Prepared for Third-Party and Generative AI?
New research from MIT SMR and BCG reveals most organizations are unprepared for the risks posed by generative AI tools.
Financial Management & Risk
Is Your Organization Investing Enough in Responsible AI? ‘Probably Not,’ Says Our Data
A panel of artificial intelligence experts weighs in on whether organizations are adequately investing in responsible AI.
IT Governance & Leadership
Managing RAI Requires a Central Team
A panel of experts weighs in on whether oversight of responsible AI should be entrusted to a single business function.
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.
Ethics
Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part Two)
The Me, Myself, and AI podcast’s discussion of AI’s risks with Amnesty Tech’s Matt Mahmoudi and Damini Satija continues.
Leading Change
Leading AI Is Still Leading
MIT Sloan Management Review’s fall 2023 issue includes a look at what it takes to lead artificial intelligence efforts.
Automation
Harnessing Grassroots Automation
With a modest amount of training, nontechnical employees can automate complex processes.
IT Governance & Leadership
Generative AI at Mastercard: Governance Takes Center Stage
Even with its deep AI experience, Mastercard is feeling its way toward how it uses generative AI.
Ethics
Protecting Society From AI Harms: Amnesty International’s Matt Mahmoudi and Damini Satija (Part 1)
On the Me, Myself, and AI podcast, Amnesty International’s Matt Mahmoudi and Damini Satija discuss AI’s societal risks.
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.
Security & Privacy
Detecting the Good and the Bad With AI: Airbnb’s Naba Banerjee
On the Me, Myself, and AI podcast, Airbnb’s Naba Banerjee explains how machine learning helps protect hosts and guests.