this post was submitted on 02 Jun 2024
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The Democratic National Committee was watching earlier this year as campaigns nationwide were experimenting with artificial intelligence. So the organization approached a handful of influential party campaign committees with a request: Sign onto guidelines that would commit them to use the technology in a “responsible” way.

The draft agreement, a copy of which was obtained by The Associated Press, was hardly full of revolutionary ideas. It asked campaigns to check work by AI tools, protect against biases and avoid using AI to create misleading content.

“Our goal is to use this new technology both effectively and ethically, and in a way that advances – rather than undermines – the values that we espouse in our campaigns,” the draft said.

The plan went nowhere.

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[–] FlyingSquid@lemmy.world 23 points 5 months ago (1 children)

There is no responsible way to use AI. Not right now. It's an environmental disaster.

https://e360.yale.edu/features/artificial-intelligence-climate-energy-emissions

The only responsible way to use AI is to not use it. Unfortunately, that's often not possible anymore for people who aren't very computer savvy.

[–] disguy_ovahea@lemmy.world 8 points 5 months ago (2 children)

There’s no putting that genie back in the bottle. Its potential to replace people in business and industry is far too strong for that. Bezos started using AI robots to assist (be trained by) workers in his fulfillment centers last year. McDonald’s is using it for automated drive-thrus, order predictions, and dynamic advertising.

https://www.aboutamazon.com/news/operations/amazon-introduces-new-robotics-solutions

https://emerj.com/ai-sector-overviews/artificial-intelligence-at-mcdonalds/

[–] FlyingSquid@lemmy.world 12 points 5 months ago

There may be no putting the genie back in the bottle, but the genie isn't going to have anyone to grant wishes to if the potable water runs out.

[–] exanime 4 points 5 months ago (1 children)

Bezos started using AI robots to assist (be trained by) workers in his fulfillment centers last year

And this will go as well as the drone delivery service...

[–] disguy_ovahea@lemmy.world 4 points 5 months ago (1 children)

Success of implementation is irrelevant. They’ve already proven viability of the technology. Even with failure under Amazon, funding will continue elsewhere.

[–] exanime 2 points 5 months ago* (last edited 5 months ago) (1 children)

Actually no ... If there is anything you can count on is the corporation greed

If an initiative is not successful and winds up costing more money, they'll abandon it

The issue is they may keep on pushing while losing money while they think it has potential ... However, AI is about half as effective as they have "sold it" to the public and it's increasingly doubtful they would actually be able to address the hallucination problem

[–] disguy_ovahea@lemmy.world 2 points 5 months ago* (last edited 5 months ago) (1 children)

Amazon will abandon it if their implementation does not meet their needs. However, the technology has already proven itself viable in the industry, and the tech will only improve with more time and funding. Someone else will begin where Amazon left off.

[–] exanime 1 points 5 months ago (1 children)

How has it "proven itself"?... All the demos shown had been at least partially faked, most AI usage in the wild has produced at least some embarrassing example

At best AI has shown to be a decent programming aid

Not saying it won't have any uses but it's been overhyped to death...

Where I work it was given to "management" and so far all it does is record Teams meetings and produces crappy meeting notes

[–] disguy_ovahea@lemmy.world 1 points 5 months ago (1 children)

Warehouse automation has come a long way in the last year. The most notable benefits of AI are in cost of implementation and improvements. Previously, programmers would need to analyze every aspect of every task, and create custom software to meet the needs of the business. Every time the business has a new task, they needed to contact the developers to implement the changes.

Now, AI powered hardware works along side of the employees, learning the task on its own. Over time, it identifies and implements its own efficiency improvements.

This also applies to your own disappointing AI experience. Any successfully programmed AI will be more effective tomorrow than it was yesterday. The more exposure it has to relevant feedback data, the faster it will improve.

[–] exanime 1 points 5 months ago (1 children)

I'm not sure LLM model can really "learn" much... they can be tinkered for sure and more/better data fed to them... but at the end of the day, LLM models are just very smart parrots, there is no real "I" in these "AI" models

[–] disguy_ovahea@lemmy.world 1 points 5 months ago

I assume government employees are talking about AI in general, not exclusively LLMs, ML, or generative AI. They don’t really know the difference in the subcategories anyway.