Data, AI, & Machine Learning
When Does AI Make Fewer Mistakes in Planning?
Making AI models write every step and fix verifier flagged mistakes raises plan validity on rule bound tasks, MIT study showed.
LLMs
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AI and Machine Learning
When Generative AI Meets Product Development
From ideation to user testing, large language models are allowing companies to explore more ideas and iterate faster.
Tucker J. Marion, Mahdi Srour, and Frank Piller
AI and Machine Learning
Auditing Algorithmic Risk
How do we know whether algorithmic systems are working as intended? A set of simple frameworks can help even nontechnical organizations check the functioning of their AI tools.
Cathy O’Neil, Jake Appel, and Sam Tyner-Monroe
AI and Machine Learning
Reinventing the Organization for GenAI and LLMs
Previous waves of technology have ushered in innovations that strengthened traditional organizational structure. Not so for generative AI and large language models.
Ethan Mollick
AI and Machine Learning
In AI We Trust — Too Much?
With AI still making wild mistakes, people need cues on when to second-guess the tools.
Ayanna Howard
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