HeyJaredBeth Stackpole
- Indexed articles, last 90 days
- 4
- Latest publication
- Sep 22, 2026
- Outlet visibility, for MIT Sloan
- Top 500K sites
- Earliest in this view
- Aug 17, 2026
Latest articles
A framework for determining when AI can make decisions | MIT Sloan (opens the original)
Read excerpt
What tasks should artificial intelligence be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges companies face in the AI era. Researchers from the MIT Center for Information Systems Research have created a framework that can help. Using the AI Decision Matrix, business leaders can determine how humans and autonomous AI agents should participate in decision-making based on two dimensions: ambiguity and risk. Ina Sebastian, Peter
3 principles to bring your data monetization initiatives to life | MIT Sloan (opens the original)
Read excerpt
In 2024, a team of researchers from the MIT Center for Information System Research developed a model that links effective data monetization strategies to strong financial performance. Now, in a new research brief, they explain why artificial intelligence has made robust data monetization capabilities not just a competitive advantage but a precondition for success. The model was most recently validated by a CISR global survey of 349 executives in organizations across a range of industries, sizes,
Generative AI as a tool for market research | MIT Sloan (opens the original)
Read excerpt
What could possibly go wrong with a minor product tweak? Anthropic recently learned the hard way after a pricing experiment with its Claude Code tool went viral on social media. The resulting developer backlash forced the company to backtrack on implementing changes to its subscription model. Like many companies do, Anthropic was simply testing the waters on product plans without shouldering the time and cost of a formal market research program. What it might have considered instead is using art
AI ethics and governance: Where will you draw the line? | MIT Sloan (opens the original)
Read excerpt
In companies’ rush to capitalize on artificial intelligence, ethics and governance considerations often take a back seat. The impulse to move fast can undermine firms’ ability to launch a responsible AI program that delivers measurable business value, says Jeffrey Saviano, an MIT Sloan School of Management senior lecturer with three decades of experience at EY. When applied together, AI ethics and responsible governance can help ensure that AI systems are safe, fair, and aligned with human, orga
Publishing over time
Last 90 days. Choose a month to open its work.
Recurring subjects
Named in the text we hold. One piece can cover several.
Audience
Top 500K sites
For MIT Sloan, the outlet · Measured Aug 1, 2026
Website popularity band, not a count of readers or article views.
About this data
Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.
Identity or attribution wrong? Suggest a correction.