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kaggle-ho-016930House Oversight

Venki Ramakrishnan warns of trust erosion in science due to deep‑learning ‘black box’

Venki Ramakrishnan warns of trust erosion in science due to deep‑learning ‘black box’ The passage is a general commentary on scientific communication and the impact of the internet and AI on research integrity. It contains no specific allegations, financial flows, or actionable leads involving powerful actors, making it low‑value for investigative work. Key insights: Ramakrishnan highlights how the internet democratized access to scientific knowledge.; He warns that deep‑learning models create a ‘black box’ that may erode trust among scientists and the public.; He cites concerns about pseudoscience proliferating online.

Date
Unknown
Source
House Oversight
Reference
kaggle-ho-016930
Pages
1
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0
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Summary

Venki Ramakrishnan warns of trust erosion in science due to deep‑learning ‘black box’ The passage is a general commentary on scientific communication and the impact of the internet and AI on research integrity. It contains no specific allegations, financial flows, or actionable leads involving powerful actors, making it low‑value for investigative work. Key insights: Ramakrishnan highlights how the internet democratized access to scientific knowledge.; He warns that deep‑learning models create a ‘black box’ that may erode trust among scientists and the public.; He cites concerns about pseudoscience proliferating online.

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kagglehouse-oversightscience-policyai-ethicspublic-trustroyal-society

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