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Whether artificial intelligence makes jobs better, not just faster, depends on the choices employers make in deploying the technology. mitsloan.mit.edu/ideas-made-…
MIT Sloan associate professor @johnjhorton makes the case that large language models can effectively deliver informal market insights that can later be refined through further investigation and more formal research practices. mitsloan.mit.edu/ideas-made-…
It’s possible for privacy-preserving technologies to coexist with data analytics. Researchers can protect individual privacy and still get reliable results from data. mitsloan.mit.edu/ideas-made-…
We asked three new MIT Sloan faculty members what their research or experience has revealed about the intersection between AI and work. Here’s what they had to say. mitsloan.mit.edu/ideas-made-…
Innovations from the delta V showcase include a trust layer for AI agents, an autonomous underwater vehicle for overboard rescues, a hands-free pump for mobile blood transfusions, and AI diagnostics for property owners. mitsloan.mit.edu/ideas-made-…
AI can help organizations create more collaborative, repeatable innovation processes, but humans should stay in charge. mitsloan.mit.edu/ideas-made-…
What tasks should AI be trusted with, and when should humans remain involved? Designing those decision rights is one of the defining challenges of the AI era. Researchers at the MIT Center for Information Systems Research have developed a framework to help.
Learn more: bit.ly/4zed20M
ALT This image is a diagram titled "The AI Decision Matrix: A framework for determining how humans and autonomous AI agents should participate in decision-making based on two dimensions: ambiguity and risk," from MIT Sloan School of Management. It features a 2x2 grid with "Ambiguity" on the y-axis (ranging from low to high) and "Risk" on the x-axis (ranging from low to high). The quadrants are labeled as follows: top left is "Exploratory," top right is "Strategic," bottom left is "Routine," and bottom right is "Consequential." Each quadrant includes descriptions of decision types, approach, and ownership. A key at the bottom explains decision components and participants, with colors indicating human or AI ownership. The footer cites the source and publication.
Researchers from the MIT Center for Information Systems Research explain why AI has made robust data monetization capabilities not just a competitive advantage but a precondition for success. mitsloan.mit.edu/ideas-made-…
Researchers found that front-line workers were more receptive to AI when reassurance came from union reps who had personal relationships with them. mitsloan.mit.edu/ideas-made-…
Negotiation was once considered the unique domain of humans, but that’s no longer the case. Today, you may encounter AI at your side or across the table, or serving as a mediator in every step of the negotiation process. mitsloan.mit.edu/ideas-made-…
Data regulation does not necessarily cause lasting economic harm. Online publishers adapted to Europe’s GDPR privacy rules and kept producing quality content. mitsloan.mit.edu/ideas-made-…
Course offerings like AI-Augmented Work, Economics of Ideas and Entrepreneurship, and Leading Agentic AI Transformation in Organizations anticipate businesses’ future needs. mitsloan.mit.edu/ideas-made-…
In his new book, MIT Sloan professor Eric So examines the ways artificial intelligence is reshaping human cognition and offers advice on protecting your uniquely human skills while using AI.
Learn more: bit.ly/4y6fZQh
ALT Photo of MIT Sloan professor Eric So with quote: "AI is changing not just what we can do; it's changing who we are as thinkers. Our capacity to engage in sustained focus and struggle is being disrupted by AI."
“You need to give AI tools tasks to do and be very specific about it. That allows us, the human supervisors, to be in charge. We have to retain decision responsibility.” — MIT Sloan professor Steven Eppinger mitsloan.mit.edu/ideas-made-…
Artificial intelligence is becoming easier for companies to access — but when competitors can also use many of the same foundation models and AI agents, simply adopting AI won’t necessarily set an organization apart. mitsloan.mit.edu/ideas-made-…
There’s an ongoing debate over which kind of world delivers better economic value to consumers and business: one without restrictions on data collection? Or one that favors privacy through regulated data protections?mitsloan.mit.edu/ideas-made-…
Artificial intelligence will transform more jobs than it eliminates outright. The biggest productivity gains will come not from incorporating AI into existing workflows but from redesigning those workflows entirely. @MITshapingwork mitsloan.mit.edu/ideas-made-…
AI can help organizations create more collaborative, repeatable innovation processes, but humans should stay in charge. mitsloan.mit.edu/ideas-made-…
Market research is essentially a prediction problem. According to MIT Sloan’s John Horton, organizations should consider using generative AI to simulate the effects of their decisions before they make them. mitsloan.mit.edu/ideas-made-…
Organizations are under pressure to innovate amid changing customer demands and continuously fluctuating markets. Artificial intelligence can help — serving as a catalyst for changing work patterns and enhancing innovation and creativity processes. mitsloan.mit.edu/ideas-made-…