5 Matching Annotations
  1. Jul 2023
  2. www.vox.com www.vox.com
    The case for slowing down AI
    5
    1. Kalyamo4 20 Jul 2023
      When an Amazon hiring algorithm picked up on words in resumes that are associated with women — “Wellesley College,” let’s say — and ended up rejecting women applicants, that algorithm was doing what it was programmed to do (find applicants that match the workers Amazon has typically preferred) but not what the company presumably wants (find the best applicants, even if they happen to be women).

      That's a good example of how AI can perpetuate existing biases and inequalities. It's important that we work together to ensure that AI is developed in a way that's transparent and accountable, so that we can understand how it's making decisions and hold those responsible for any negative outcomes. Additionally, we need to be aware of the potential for bias in the data sets that are used to train AI systems, and work to ensure that these data sets are representative and free from bias. Finally, we need to work together as a society to ensure that the benefits of AI are shared fairly across all members of society, regardless of gender, race, or other factors.

    2. Kalyamo4 20 Jul 2023
      “Sorry! Computers need to be accountable to people!” he said, and then made sure to clarify, “That was not a Freudian slip.” Slip or not, the laughter in the room betrayed a latent anxiety. Progress in artificial intelligence has been moving so unbelievably fast lately that the question is becoming unavoidable: How long until AI dominates our world to the point where we’re answering to it rather than it answering to us?

      It's understandable to feel anxious about the future of AI. However, it's important to remember that we have the power to shape the future of AI and ensure that it's developed in a responsible and safe way. This means investing in research to better understand the potential risks and benefits of AI, creating regulations and policies to ensure that it's used for the greater good, and working together as a society to ensure that the benefits are shared fairly. Additionally, it's important to ensure that AI is transparent and accountable to people, so that we can understand how it's making decisions and hold those responsible for any negative outcomes.

    3. Kalyamo4 20 Jul 2023
      So AI threatens to join existing catastrophic risks to humanity, things like global nuclear war or bioengineered pandemics. But there’s a difference. While there’s no way to uninvent the nuclear bomb or the genetic engineering tools that can juice pathogens, catastrophic AI has yet to be created, meaning it’s one type of doom we have the ability to preemptively stop.

      That's a good point. Unlike other catastrophic risks, we have the ability to take action to prevent the creation of dangerous AI. It's important that we take advantage of this opportunity to ensure that AI is developed in a responsible and safe way. This means investing in research to better understand the potential risks and benefits of AI, creating regulations and policies to ensure that it's used for the greater good, and working together as a society to ensure that the benefits are shared fairly.

    4. Kalyamo4 20 Jul 2023
      “I’d just slowly ease the world into this transition,” Cotra said. “I’m very scared because I think it’s not going to happen like that.”

      In addition, it's important to consider the impact of AI on the workforce. While AI has the potential to automate many jobs and increase efficiency, it could also lead to job displacement and inequality. We need to work together to ensure that the benefits of AI are shared fairly across all members of society. This could include things like investing in education and training programs to help people develop the skills they need to succeed in a world of AI, or creating policies that ensure a basic income for those who are unable to find work.

    5. Kalyamo4 20 Jul 2023
      Will the tech world grasp that, though? That partly depends on how we, the public, react to shiny new AI advances, from ChatGPT and Bing to whatever comes next. It’s so easy to get seduced by these technologies. They feel like magic. You put in a prompt; the oracle replies. There’s a natural impulse to ooh and aah. But at the rate things are going now, we may be oohing and aahing our way to a future no one wants.

      It's important to remember that AI is only as good as the data it's trained on. If the data is biased or incomplete, the AI will reflect those same biases. It's crucial that we ensure the data sets are diverse and balanced. Additionally, transparency and accountability are also critical when it comes to AI. We need to know how the AI is making decisions and be able to hold those responsible for any negative outcomes.

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    vox.com/the-highlight/23621198/artificial-intelligence-chatgpt-openai-existential-risk-china-ai-safety-technology