Are we letting A.I. go too far?
Collaborations PharmaceuticalsThey, therefore, tweaked this A.I. to look for chemical weapons, and impressively enough the machine learning algorithm found 40,000 options in just six hours,"The thought had never previously struck us. We were vaguely aware of security concerns around work with pathogens or toxic chemicals, but that did not relate to us; we primarily operate in a virtual setting.
"We have spent decades using computers and A.I. to improve human health—not to degrade it. We were naive in thinking about the potential misuse of our trade, as our aim had always been to avoid molecular features that could interfere with the many different classes of proteins essential to human life."
The researchers said that even their work on Ebola and neurotoxins, which could have raised concerns about the potential negative implications of their machine learning models, had not set their alarm bells ringing. They were blissfully unaware of the damage they cond inflict.Collaborations Pharmaceuticals had published computational machine learning models for toxicity prediction.
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