Experimentation, Magazine and Risk Management

6 generative AI hazards IT leaders should avoid

CIO Business Intelligence

DECEMBER 6, 2023

As well as a process that includes human review, and encourages experimentation and thorough evaluation of AI suggestions, guardrails need to be put in place as well to stop tasks from being fully automated when it’s not appropriate. Human reviewers should be trained to critically assess AI output, not just accept it at face value.”

IT Risk Management Interactive Modeling

Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science

Data Science Experimentation Data-driven Machine Learning

Data Leaders Brief

6 generative AI hazards IT leaders should avoid

Themes and Conferences per Pacoid, Episode 6

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