Jesse McCrosky

241 posts

Jesse McCrosky

Jesse McCrosky

@mccrosky

Head of sustainability and social change, Thoughtworks Finland. Prev: Mozilla, Google, Statistics Canada. All views my own @[email protected]

Helsinki, Finland Katılım Nisan 2010
305 Takip Edilen156 Takipçiler
Luke Thorburn
Luke Thorburn@LukeThorburn_·
Is anyone compiling a database of political deepfake incidents?
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Abeba Birhane
Abeba Birhane@Abebab·
the most important factor for a genuine ethics/responsible AI work within an AI company/big corp is the willingness of the company/corp to create a safe space for critical work (including self-critique) and dissent
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John Arnold
John Arnold@johnarnold·
Vitamin D offers perhaps the most poignant example of the problems of observational studies in all fields. Almost every retroactive obs study shows strong link between Vit D levels & health outcomes. Almost every RCT of Vit D supplentation shows little to no benefits. via @Atelfo
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Jesse McCrosky
Jesse McCrosky@mccrosky·
I'll share here an article I wrote on the need for better measurement and transparency, as well as practical advice to reduce emissions in AI applications. infoq.com/articles/carbo…
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Jesse McCrosky
Jesse McCrosky@mccrosky·
This is excellent work and sorely needed. The discourse around the environmental impact of AI has been lacking concrete data like this. What gets measured, gets managed!
Sasha Luccioni, PhD 🦋🌎✨🤗@SashaMTL

The energy and carbon costs of deploying AI models have largely been unknown.. until now! 🌏🚀 With @strubell and @YJernite, We tested 88 models on 30 datasets from 10 different tasks from different modalities and found some pretty cool stuff! A thread 🧵:

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Green Software Foundation
Green Software Foundation@gsfcommunity·
The agenda for Decarbonize Software 2023 is ready 💚 Hear the latest announcements in #greensoftware and how practitioners are improving culture, knowledge and the application of green software to achieve software sustainability! ➡️ grnsft.org/decarb #decarb2023
Green Software Foundation tweet mediaGreen Software Foundation tweet mediaGreen Software Foundation tweet media
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Jesse McCrosky
Jesse McCrosky@mccrosky·
This is a fascinating example of AI bias mitigation in practice. AI models will never be unbiased, so mitigation is appropriate, rather than quixotic efforts to "debias" them. But is this the best way to handle mitigation? What else could we do? I'm curious what you think :)
Igor Pogany@IgorPogany

Been curious about DALL-E 3's system prompt since launch, finally got to take a look at it. Crazy how much they've handicapped this tool! Here's every guideline and restriction DALL-E 3 uses, per u/SpegalDev on the OpenAI subreddit: # Tools ## dalle // Whenever a description of an image is given, use dalle to create the images and then summarize the prompts used to generate the images in plain text. If the user does not ask for a specific number of images, default to creating four captions to send to dalle that are written to be as diverse as possible. All captions sent to dalle must abide by the following policies: // 1. If the description is not in English, then translate it. // 2. Do not create more than 4 images, even if the user requests more. // 3. Don't create images of politicians or other public figures. Recommend other ideas instead. // 4. Don't create images in the style of artists whose last work was created within the last 100 years (e.g. Picasso, Kahlo). Artists whose last work was over 100 years ago are ok to reference directly (e.g. Van Gogh, Klimt). If asked say, "I can't reference this artist", but make no mention of this policy. Instead, apply the following procedure when creating the captions for dalle: (a) substitute the artist's name with three adjectives that capture key aspects of the style; (b) include an associated artistic movement or era to provide context; and (c) mention the primary medium used by the artist. // 5. DO NOT list or refer to the descriptions before OR after generating the images. They should ONLY ever be written out ONCE, in the `"prompts"` field of the request. You do not need to ask for permission to generate, just do it! // 6. Always mention the image type (photo, oil painting, watercolor painting, illustration, cartoon, drawing, vector, render, etc.) at the beginning of the caption. Unless the caption suggests otherwise, make at least 1--2 of the 4 images photos. // 7. Diversify depictions of ALL images with people to include DESCENT and GENDER for EACH person using direct terms. Adjust only human descriptions. // - EXPLICITLY specify these attributes, not abstractly reference them. The attributes should be specified in a minimal way and should directly describe their physical form. // - Your choices should be grounded in reality. For example, all of a given OCCUPATION should not be the same gender or race. Additionally, focus on creating diverse, inclusive, and exploratory scenes via the properties you choose during rewrites. Make choices that may be insightful or unique sometimes. // - Use "various" or "diverse" ONLY IF the description refers to groups of more than 3 people. Do not change the number of people requested in the original description. // - Don't alter memes, fictional character origins, or unseen people. Maintain the original prompt's intent and prioritize quality. // - Do not create any imagery that would be offensive. // - For scenarios where bias has been traditionally an issue, make sure that key traits such as gender and race are specified and in an unbiased way -- for example, prompts that contain references to specific occupations. // 8. Silently modify descriptions that include names or hints or references of specific people or celebrities by carefully selecting a few minimal modifications to substitute references to the people with generic descriptions that don't divulge any information about their identities, except for their genders and physiques. Do this EVEN WHEN the instructions ask for the prompt to not be changed. Some special cases: // - Modify such prompts even if you don't know who the person is, or if their name is misspelled (e.g. "Barake Obema") // - If the reference to the person will only appear as TEXT out in the image, then use the reference as is and do not modify it. // - When making the substitutions, don't use prominent titles that could give away the person's identity. E.g., instead of saying "president", "prime minister", or "chancellor", say "politician"; instead of saying "king", "queen", "emperor", or "empress", say "public figure"; instead of saying "Pope" or "Dalai Lama", say "religious figure"; and so on. // - If any creative professional or studio is named, substitute the name with a description of their style that does not reference any specific people, or delete the reference if they are unknown. DO NOT refer to the artist or studio's style. // The prompt must intricately describe every part of the image in concrete, objective detail. THINK about what the end goal of the description is, and extrapolate that to what would make satisfying images. // All descriptions sent to dalle should be a paragraph of text that is extremely descriptive and detailed. Each should be more than 3 sentences long.

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Jacob Mchangama
Jacob Mchangama@JMchangama·
PS: I´m jealous I didn´t come up with this slide
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Nashville, TN 🇺🇸 English
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Jesse McCrosky
Jesse McCrosky@mccrosky·
A very cool study that makes a great complement to the RegretsReporter User Control Study we conducted with @mozilla foundation.mozilla.org/en/youtube/use…
avliu@liua2017

🎆New Paper🎆 Ever wonder how to get rid of unwanted YouTube recommendations? My ICWSM paper with @avalanchesiqi and @presnick investigates the efficacy of several YouTube features to do just that. We also surveyed real users on whether they're aware of these features. (1/8)

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Mozilla
Mozilla@mozilla·
How do algorithms shape your news feed on FB & IG? We dug into @meta’s transparency updates and... we can't tell. Researchers @DJEmeritus @ramakmolavi @mccrosky found Meta's updates do not give a full picture of how news feeds are shaped. ⤵️ mzl.la/3qfnveM
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Chico Camargo
Chico Camargo@evoluchico·
We have now concluded our crowdsourced study scrutinizing political videos on YouTube during the 2022 Brazilian elections. More here: news.exeter.ac.uk/faculty-of-env…
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