Artificial Intelligence - Ethics | Law | Philsophy

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cross-posted from: https://beehaw.org/post/849870

Article Link from Nature

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cross-posted from: https://beehaw.org/post/528711

Via @aardrian@toot.cafe:

…consider tools like GitHub Copilot, which claims to be “your AI pair programmer”. These work by leaning on the code of thousands and thousands of projects to build its code auto-complete features.

When you copy broken patterns you get broken patterns. And I assure you, GitHub, Google, Apple, Facebook, Amazon, stacks of libraries and frameworks, piles of projects, and so on, are rife with accessibility barriers.

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cross-posted from: https://kbin.social/m/technology@beehaw.org/t/98592

Tech CEOs want us to believe that generative AI will benefit humanity. They are kidding themselves

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cross-posted from: https://lemmy.ml/post/1354017

cross-posted from: https://lemmy.ml/post/1353899

Article summarized by AI below: The article argues that artificial intelligence (AI) is not a threat to humanity, but a powerful tool to solve global challenges such as climate change, poverty, disease, and inequality. It gives examples of how AI is already being used to improve health care, education, agriculture, and energy efficiency. It also discusses the ethical and social implications of AI, and how we can ensure that it is aligned with human values and goals. The article concludes that AI will save the world if we use it wisely and responsibly.

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cross-posted from: https://beehaw.org/post/616101

I was thinking about this after a discussion at work about large language models (LLMs) - the initial scrape of the internet before Chat GPT become publicly usable was probably the last truly high quality scrape of human-made content any model will get. The second Chat GPT went public, the data pool became tainted with people publishing information from it. Future language models will have increasingly large percentages of their data tainted by AI-generated content, skewing the results away from how humans actually write. To get actual human content, they may need to turn to transcriptions of audio recordings or phone calls for training, and even that wouldn't be quite correct because people write differently than they speak.

I sort of wonder if eventually people will start being influenced in how they choose to write based on seeing this AI content. If teachers use AI-generated texts in school lessons, especially at lower levels, will that effect how kids end up writing and formatting their work? It's weird to think about the wider implications of how this AI stuff will ultimately impact society.

What's your predictions? Is there a future where AI can get a clean, human-made scrape? Are we doomed to start writing like AIs?

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cross-posted from: https://feddit.de/post/820900

Beijing utilizes a sophisticated and evolving set of legal, technical, and operational apparatuses to perfect a near real-time censorship system across all platforms and channels to conduct propaganda and disinformation campaigns and collect massive amounts of data. The publication formulates the most important lessons learned from history so that democracies can find new ways or improve their strategy to preserve our liberal values and protect the rights of Internet users.

Here is the study (pdf): https://shop.freiheit.org/download/P2@1489/733787/The%20Everything%20Everywhere%20Censorship%20of%20China_EN.pdf

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cross-posted from: https://beehaw.org/post/529021

It is interesting how easy this has got with a popular service like Prime Voice AI, and when you realise that many use voice recognition for authenticated access to systems, we can see where the risks come in. Like most technology, there are lots of positive upsides, but it always opens up the negatives as well. As Steve points out in his commentary in the linked article, the bad actors are often quicker than anyone else nowadays to take advantage of these new developments.

No end in sight for the upward trajectory of careers in security and vulnerability consultants.

#technology #security #voicecloning

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