AI threats to 2024 election: The lessons we can learn from other tech breakthroughs

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Concerns about AI interfering with the 2024 elections are well-founded, yet not unprecedented in recent history. In 1975, the Asilomar Conference on Recombinant DNA foreshadowed today’s AI concerns.

Asilomar set the precedent on how to respond to changes in scientific knowledge. According to conference organizers, biochemist Paul Berg and molecular biologist Maxine Singer, the proper response to new scientific knowledge was to develop guidelines that governed how to regulate it.

They were as wrong as those asking for AI regulation. The solution is not to be found through regulation, but by debunking the premise of processing immense sets of data at the cost of sustainability. Brute force computation sold as intelligence is a fraud!

The challenges of AI and the 2024 elections are ethical. Not regulatory. We’ve made a Faustian bargain for AI, and its impact will irreversibly affect the future of humankind if we do not challenge the science behind it.

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We can’t put the genie back in the bottle, hence the need to understand how to mitigate the potential dangers to society and our democratic system implicit in the deterministic foundation of AI.

It is not only the past, represented by data processed