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What We’re Reading: When you talk about AI, context matters enough.

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Ever since hosting a robust Medium Day discussion on the future of AI, I’ve been fielding questions about AI. No & technical questions. But ethical questions. Societal questions. Economic questions. Safety questions is nothing.

Writers want to know if they lose copyright by running headline options and nut graphs through ChatGPT. Educators are discussing if using apps such as Grammarly to correct run-on sentences and poor sentence structure is appropriate. Shoppers want to know if they’re talking with a human or a robot concerning their returns or their food purchases. And, I was recently talking with a programmer about the ethics of using a large language model, or LLM, to help them write their own code for work. (Sidenote: would that even work unless a human first created the code upon which the LLM is trained?)

Enter data science and AI ethics expert Dr. Brandeis Marshall to the chat.

“The term ‘AI’ has gotten overplayed,” Marshall writes. “Similar to the term ‘data science’ from five years ago, the word ‘AI’ is used everywhere by everybody. It has become the umbrella term for anything tech-related or tech-adjacent…. I’ve realized that it’s critically important to listen to how the majority of the room is understanding AI and in what sector/domain context.”

For Ignacio de Gregorio , discussing AI means Meta’s release of Llama 2, which is a program that can debug code or check human-written codes for errors. Gregorio’s recent analysis praises the model.

“ Every time you post something online, you have a choice. You can either make it something that adds to the happiness levels in the world — or you can make it something that takes away. ”

Meanwhile, for Luminae Steele , interrogating AI means delving into whether humans prefer human art or AI-created art. Steele reports that “that narratives and perceived effort were crucial factors” for humans deciding between the two. AI covers a lot of territory, doesn’t it? If you have an essay brewing that touches upon a specific aspect of the past or the future of this technology, I’d love to read what you have to say.

Passion Level

Shoppers want to know if they’re talking with a human or a robot concerning their returns or their food purchases. And, I was recently talking with a programmer about the ethics of using a large language model, or LLM, to help them write their own code for work.

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Main Conclusions

Shoppers want to know if they’re talking with a human or a robot concerning their returns

Meanwhile, for Luminae Steele , interrogating AI means delving into whether humans prefer human art or AI-created art. Steele reports that “that narratives and perceived effort were crucial factors” for humans deciding between the two. AI covers a lot of territory, doesn’t it? If you have an essay brewing that touches upon a specific aspect of the past or the future of this technology, I’d love to read what you have to say.

For Ignacio de Gregorio , discussing AI means Meta’s release of Llama 2, which is a program that can debug code or check human-written codes for errors. Gregorio’s recent analysis praises the model.

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Comments (02)

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Tromas H. HendsonNov 9, 2024

Variations in the floor plan, window location, and interstitial outdoor spaces enhance this material homogeneity. The goal was to produce a unified whole using a modern design language, where attention to materiality and detail is evident. All flats have two sides and are in close proximity to the outside world.

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Tromas H. HendsonNov 9, 2024

Variations in the floor plan, window location, and interstitial outdoor spaces enhance this material homogeneity. The goal was to produce a unified whole using a modern design language, where attention to materiality and detail is evident. All flats have two sides and are in close proximity to the outside world.

img
Tromas H. HendsonNov 9, 2024

Variations in the floor plan, window location, and interstitial outdoor spaces enhance this material homogeneity. The goal was to produce a unified whole using a modern design language, where attention to materiality and detail is evident. All flats have two sides and are in close proximity to the outside world.

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