AI and the present amplification of existing societal biases

[John Raymaker]

Hi all,  Here is a commentary on some of the disturbing implications of AI I just read on the Internet:

"The ethical implications of artificial intelligence (AI) include concerns about bias and discrimination, privacy and surveillance, accountability for AI decisions, job displacement, and the potential for misuse, such as through misinformation. AI systems can perpetuate and amplify existing societal biases found in their training data, leading to unfair or discriminatory outcomes in areas like hiring, lending, and criminal justice. Privacy is threatened by the ability of AI to collect and analyze vast amounts of personal data, while issues of transparency, explainability, and human oversight are critical for ensuring accountability when AI systems make mistakes." END quote.

We are NOW  living in a world technologically D'IFFERENT from the time Lonergan was writing.Tech-savvy firms are now exploiting their AI expertise at the expense of the average citizen. How can devevloping nations respond to this new development? Any ideas? Pierre and I only partially addressed the complexities of this new mindboggling development in our Appendix C. There we relied on an article by Linda Kahn "Amazon Antitrust Paradox."

John

[Hugh Williams]

John et al,

I'm shooting from the hip here ...

but for what it is worth ...

I have a friend who insists on using AI to process our often complex and difficult communications ...

recently we've tried to speak of Palestine and Gaza ...

and what I've found or my impression is that the AI 'instrument' tends too much

and too quickly to 'communicate' in generalities

without an adequate grounding in specifics ....

the deeper epistemological issue which some of us may recognize here

on this list after engagement with the likes of Lonergan and Rahner and Gilson is that of 'species' ...

I'm suspicious that AI, being without 'soul', has nothing to

do with the appropriation of or conversion to 'species' ... in other words despite its calculative mastery

over information and lots of it ... it has knowledge of nothing ...

of course this leaves us with the question 'what is knowledge?' ...

Hugh

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