Downsample

A new publication presenting ideas on democratizing AI. Powered by @obviouslyai.

[Downsample @dwnsmple]

Calling all writers to contribute stories on inclusion/diversity in AI, algorithmic bias, and ideas on democratizing AI. 🤖

Open to submissions: [email protected]

[Zams @zamshq]

Don't rush into building AI systems for your business if you don't take these things into account first 👇

https://t.co/FutUrcQdNY

[Zams @zamshq]

The term “Ethical AI” goes beyond unbiased data collection and algorithm accountability. Ethical AI is a movement towards a better AI-driven world to fully harness the power of AI systems.

By @volcasample for @dwnsmple!
https://t.co/CZWjbTzRUx

[MIT Technology Review @techreview]

Op-ed: Too much research applying machine learning to real-world problems is marginalized in the AI community. This is preventing AI from living up to its promise. https://t.co/aiYPKaoTRx

[Ram Shankar Siva Kumar @ram_ssk]

@BeEngelhardt @sg1753 @Princeton @jeremyphoward If I were to go back in time, I would love my undergrad self to have read @safiyanoble @ruha9 and

@benzevgreen data science as political action https://t.co/4dfxOekX7J

@kharijohnson piece summarizing AI and power https://t.co/OKf51DDigv

James Scott Seeing Like a State

[Downsample @dwnsmple]

New Article: What does "Ethical AI" truly mean? It's not just having unbiased data, it's so much more than that.

By our Editor, @volcasample 🤖

https://t.co/e1QxKFIjFP

[Downsample @dwnsmple]

@iRyanBell Genius 👏

[Downsample @dwnsmple]

Throwback to last week with @enandini_ wrote a whopping piece on how businesses should approach algorithms with increased accountability. 🤖

https://t.co/pKO0s27pU4

[Eshita @eshita]

my piece on why setting a precedent for thoughtful AI matters as you build your data-enabled company.

thanks to @obviouslyai @dwnsmple for helping me get this out!

https://t.co/ygUAMVUSBn

[Downsample @dwnsmple]

New Article by @enandini_!
"There is a common misconception that in order to remedy model accuracy, you must simply rein in more data. This is not necessarily true. it is quite more strategic to have good quality data..."
https://t.co/pKO0s27pU4

[Downsample @dwnsmple]

"...We are finding that [algorithms] introduce bias in a more complex manner than human decision making —and  this poses to affect part of society quite adversely, including women and people of color."

New article coming out this week on the algorithm economy by @enandini_ 🤖🥳

[Downsample @dwnsmple]

ICYMI: The Inherent Bias Problem in Artificial Intelligence and How to Fix It. Written by @profeshsam.

Here are the reasons bias exists in artificial intelligence models and how to give the field a makeover. 🤖

https://t.co/zlHQuVuO3A

[Downsample @dwnsmple]

Did you know?
👉71% of all job applicants for AI jobs in the US identified as male
👉44% of people in AI earned a PhD from the US
👉77% of PhDs in AI work in academia
👉Women are only represented in 18% of conference publications

✍️:@profeshsam

https://t.co/zlHQuVMoV8

[Downsample @dwnsmple]

Let's fix this.

[Dane Lyons @duilen]

Data science and ethics go hand in hand.

It's too easy to manipulate data to tell the story you want to tell. It's tempting to segment data sets based on a variety of random criteria, then rationalize why to use the set most correlated to your story.

Being objective is hard.

[Downsample @dwnsmple]

As AI gets democratized, organizations need to know how to define and build solid AI systems before implementing them. Here's everything you need to look at when building an AI system for max accuracy.
✍️: @buabaj_
https://t.co/no8FNf85qF

[Zams @zamshq]

This is why allowing nontechnical people to use machine learning is so important to us.

Help us fix the power imbalances and #DemocratizeAI 🤖

[Diversity in AI @ IJCAI 2026 @DiverseInAI]

Attending the @icmlconf panel on Participatory Approaches to #MachineLearning moderated by @rajiinio and featuring the research director of @Data4BlackLives, @JamelleWD (who just gave a great talk about agency and fairness/accountability. #SocialJustice #FAccT #DiverseInAI

[Downsample @dwnsmple]

As AI gets democratized, organizations need to know how to define and build solid AI systems before implementing them. Here's everything you need to look at when building an AI system for max accuracy.
✍️: @buabaj_
https://t.co/no8FNf85qF

[Zams @zamshq]

A new article "Rules to Building an AI System-From a Data Scientist" is being published tomorrow on @dwnsmple. Stay tuned. 🤖 Written by @buabaj_

[Downsample @dwnsmple]

A great thread discussing AI democratization pros and cons and the future of AI 🔥

[@emilymbender.bsky.social @emilymbender]

Possibly unpopular opinion, and speaking as someone who doesn't do AI: I *don't* think the democratization of AI is a good thing. Yes, we should welcome more people into the field, but not by setting things up so you can do research without understanding task/data. #acl2020nlp