MIT News ·
AI for public transit: connect data before automating decisions
Explore how transit AI projects can connect operations data, support dispatch teams and deliver useful passenger updates with measurable deployment goals.
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AI insights and practical guides
Explore AI strategy, data engineering, automation, and GATAI projects.
MIT News ·
Strategic AI: test decisions when information is incomplete
A practical guide to evaluating strategic AI under uncertainty, with scenario testing, visible assumptions and clear limits on automated business decisions.
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MIT News ·
AI hiring tools: evaluate diversity beyond vendor labels
Assess AI screening systems with independent review, outcome sampling and checks for correlated errors across apparently different hiring tools and vendors.
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MIT News ·
Human-centered chatbots: design useful boundaries
Design transparent AI chat experiences with understandable limits, human handoff and success measures based on completed tasks rather than conversation length.
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MIT News ·
Visual AI for cities: build privacy into the data pipeline
Explore a practical approach to urban computer vision using limited data collection, aggregate outputs, representative evaluation and clear operating boundaries.
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MIT News ·
Patient-specific AI: evaluate adaptation before integration
An engineering perspective on patient-specific imaging AI, emphasizing data separation, adaptation checks and the distinction between research and deployment.
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MIT News ·
Constrained AI: turn requirements into executable checks
Learn how to define hard constraints for AI workflows, validate outputs independently and handle conflicting requirements before allowing automated actions.
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MIT News ·
Explainable autonomy: test what people understand
Evaluate AI explanations through prediction tasks, faithful evidence and operational review instead of judging them only by fluent language or user confidence.
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MIT News ·
Materials AI: validate feasibility early in the workflow
Explore an AI materials discovery workflow that checks feasibility early, preserves experimental evidence and compares cost per validated candidate.
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