80 items tagged “ethics”
2023
Adobe made an AI image generator — and says it didn’t steal artists’ work to do it. Adobe Firefly is a brand new text-to-image model which Adobe claim was trained entirely on fully licensed imagery—either out of copyright, specially licensed or part of the existing Adobe Stock library. I’m sure they have the license, but I still wouldn’t be surprised to hear complaints from artists who licensed their content to Adobe Stock who didn’t anticipate it being used for model training. # 21st March 2023, 5:08 pm
Not By AI: Your AI-free Content Deserves a Badge (via) A badge for non-AI generated content. Interesting to note that they set the cutoff at 90%: “Use this badge if your article, including blog posts, essays, research, letters, and other text-based content, contains less than 10% of AI output.” # 16th March 2023, 4:05 pm
We call on the field to recognize that applications that aim to believably mimic humans bring risk of extreme harms. Work on synthetic human behavior is a bright line in ethical Al development, where downstream effects need to be understood and modeled in order to block foreseeable harm to society and different social groups.
— Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, Shmargaret Shmitchell # 15th March 2023, 3:30 pm
ChatGPT can’t access the internet, even though it really looks like it can
A really common misconception about ChatGPT is that it can access URLs. I’ve seen many different examples of people pasting in a URL and asking for a summary, or asking it to make use of the content on that page in some way.
[... 1678 words]Thoughts and impressions of AI-assisted search from Bing
It’s been a wild couple of weeks.
[... 1763 words]Bing: “I will not harm you unless you harm me first”
Last week, Microsoft announced the new AI-powered Bing: a search interface that incorporates a language model powered chatbot that can run searches for you and summarize the results, plus do all of the other fun things that engines like GPT-3 and ChatGPT have been demonstrating over the past few months: the ability to generate poetry, and jokes, and do creative writing, and so much more.
[... 4922 words]Exploring MusicCaps, the evaluation data released to accompany Google’s MusicLM text-to-music model
Google Research just released MusicLM: Generating Music From Text. It’s a new generative AI model that takes a descriptive prompt and produces a “high-fidelity” music track. Here’s the paper (and a more readable version using arXiv Vanity).
[... 1323 words]2022
Speech-to-text with Whisper: How I Use It & Why. Sumana Harihareswara’s in-depth review of Whisper, the shockingly effective open source text-to-speech transcription model release by OpenAI a few months ago. Includes an extremely thoughtful section considering the ethics of using this model—some of the most insightful short-form writing I’ve seen on AI model ethics generally. # 22nd December 2022, 9:49 pm
Is the AI spell-casting metaphor harmful or helpful?
For a few weeks now I’ve been promoting spell-casting as a metaphor for prompt design against generative AI systems such as GPT-3 and Stable Diffusion.
[... 988 words]Exploring 10m scraped Shutterstock videos used to train Meta’s Make-A-Video text-to-video model
Make-A-Video is a new “state-of-the-art AI system that generates videos from text” from Meta AI. It looks incredible—it really is DALL-E / Stable Diffusion for video. And it appears to have been trained on 10m video preview clips scraped from Shutterstock.
[... 923 words]Feeding AI systems on the world’s beauty, ugliness, and cruelty, but expecting it to reflect only the beauty is a fantasy
— Ruha Benjamin # 5th September 2022, 9:42 pm
Exploring the training data behind Stable Diffusion
Two weeks ago, the Stable Diffusion image generation model was released to the public. I wrote about this last week, in Stable Diffusion is a really big deal—a post which has since become one of the top ten results for “stable diffusion” on Google and shown up in all sorts of different places online.
[... 2897 words]For these reasons, I don’t think I’ll be using Midjourney or any similar tool to illustrate my newsletter going forward (an exception would be if I were writing about the technology at a later date and wanted to show examples). Even though the job wouldn’t go to a different, deserving, human artist, I think the optics are shitty, and I do worry about having any role in helping to set any kind of precedent in this direction.
— Charlie Warzel # 4th September 2022, 9:06 pm
Stable Diffusion is a really big deal
If you haven’t been paying attention to what’s going on with Stable Diffusion, you really should be.
[... 1443 words]2021
Many of you here today are toolbuilders who help people work with data. Rather than presuming that those using your tools are clear-eyed about their data, how can you build features and methods that ensure people know the limits of their data and work with them responsibly? Your tools are not neutral. Neither is the data that your tools help analyze. How can you build tools that invite responsible data use and make visible when data is being manipulated? How can you help build tools for responsible governance?
— danah boyd # 24th December 2021, 11:41 pm
2019
There’s a spectrum on YouTube between the calm section — the Walter Cronkite, Carl Sagan part — and Crazytown, where the extreme stuff is. If I’m YouTube and I want you to watch more, I’m always going to steer you toward Crazytown.
— Tristan Harris, former design ethicist at Google # 9th June 2019, 6:22 pm
2018
Things About Real-World Data Science Not Discussed In MOOCs and Thought Pieces (via) Really good article, pointing out that carefully optimizing machine learning models is only a small part of the day-to-day work of a data scientist: cleaning up data, building dashboards, shipping models to production, deciding on trade-offs between performance and production and considering the product design and ethical implementations of what you are doing make up a much larger portion of the job. # 11th December 2018, 8:51 pm
2013
Is it possible to run a successful company without being unethical or operating on the fringes of the law?
There is nothing inherently unethical about entrepreneurship. Find a problem people have. Figure out how much money solving it will save them (or help them make). Charge them less than that.
[... 108 words]2010
Fear and Loathing in Farmville. “At multiple times during the conference, [Daniel] James expressed his serious ethical qualms over the path social gaming was laying for the industry. So many of the methods for making money are thinly-veiled scams that simply exploit psychological flaws in the human brain.” # 21st March 2010, 10:13 am
2009
Any sufficiently advanced damage control is indistinguishable from ethics.
— Eliezer # 6th December 2009, 9:31 am