AI & Machine Learning
How to Hold General-Purpose AI Producers Accountable
Experts debate whether general-purpose AI producers can be held accountable for how their products are developed.
Experts debate whether general-purpose AI producers can be held accountable for how their products are developed.
AI won’t affect every company the same way. Leaders can use a diagnostic framework to assess how it will affect theirs.
The Me, Myself, and AI episode features Truist’s Chandra Kapireddy in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.
Leaders who don’t understand the current lobbying environment and how AI tools fit in face a competitive disadvantage.
Today’s organizations need tech leaders who can also take on the cultural and change management challenges of AI.
Experts weigh in on key AI challenges for business leaders, including risk management, ethics, and data management.
The finance software company is using a customized operating system for AI development to build better customer tools.
This Me, Myself, and AI episode features Lenovo’s Linda Yao in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.
The retailer’s AI ethics approach starts with concrete business examples and teaches employees to keep asking questions.
Build AI ethics into process to pave the way for AI tools that are both innovative and responsible.
Which AI tool is the best option for solving your problem? Follow this pragmatic advice to figure it out.
This Me, Myself, and AI episode features Harvard Business School professor Raffaella Sadun in conversation with hosts Sam Ransbotham and Shervin Khodabandeh.
Apply a comprehensive cost-benefit analysis to GenAI use cases to identify where the technology may pay off.
Leaders detail Agoda’s development of a KPI that accounts for external factors and aids strategic goal alignment.
This bonus Me, Myself, and AI episode features MIT professor David Autor and MIT CSAIL Alliances host Kara Miller.
Balance the rewards and risks of Bring Your Own AI tools and reap innovation gains.
Causal ML helps managers improve decision-making by enabling them to explore different options’ potential outcomes.
Should a chief data officer lead data and AI efforts? Three potent forces will determine the future of the CDO role.
On this Me, Myself, and AI bonus episode, MIT CISR researcher Barbara Wixom shares insights from 30 years in the field.
The goal isn’t eliminating technical debt but managing it, focusing on the highest-value fixes, and supporting innovation.