This month we cover the important topic of bias in machine learning. Our selection of tweets includes links to articles, podcasts and tutorials relating to AI ethics.
An image of @BarackObama getting upsampled into a white guy is floating around because it illustrates racial bias in #MachineLearning. Just in case you think it isn't real, it is, I got the code working locally. Here is me, and here is @AOC. pic.twitter.com/kvL3pwwWe1
— 🔥🔥Robert Osazuwa Ness🔥🔥 (@osazuwa) June 20, 2020
— Ted Pedersen (@SeeTedTalk) June 27, 2020
Combatting Anti-Blackness in the AI Community:
In this work, we aim to elucidate the scale and scope of anti-Black bias in the AI community and provide concrete steps to mitigate this bias and build a more just community.https://t.co/Hw1hEgYnq4
— Devin Guillory (@databoydg) June 23, 2020
For all who have been asking, you can finally watch #CodedBias – the film that shows the origins of @AJLUnited and chronicles my journey alongside other pioneering women fighting for algorithmic justice @black_in_ai @Data4BlackLives @datasociety @AINowInstitute #HotDocs2020 https://t.co/tjXJg5vT7S
— Joy Buolamwini (@jovialjoy) June 4, 2020
The problem is much more beyond data bias. ML systems can be poorly calibrated (https://t.co/a49XNesonL) and bias in the data might be amplified (https://t.co/7GhKXEd3yh, https://t.co/4gA26mNbMS) i.e., simply diversifying the data source might not solve the problem. https://t.co/SOQRjmPgVo pic.twitter.com/L0ckBOh78k
— Kai-Wei Chang (@kaiwei_chang) June 21, 2020
IBM, Microsoft, and Amazon have publically made statements distancing themselves from facial recognition technology. What do you need to know? In this #breakingnews episode we spoke with the incredible @rajiinio of @AINowInstitute @AJLUnited https://t.co/NSKQusOKOU
— The Radical AI Podcast (@RadicalAIPod) June 24, 2020
How do we respond to systemic racism? How do we engage with diversity and representation without reducing efforts to branding and lip service? We welcome Dr Timnit Gebru @timnitGebru to the show and are so grateful for her witness and wisdom in these timeshttps://t.co/Bqd6jfRlJE
— The Radical AI Podcast (@RadicalAIPod) June 3, 2020
— Nicolas Le Roux (@le_roux_nicolas) June 9, 2020
Springer Nature plans to publish an article "A Deep Neural Network Model to Predict Criminality Using Image Processing" that revives long discredited physiognomist pseudoscience.
— Abeba Birhane (@Abebab) June 21, 2020
I wrote "The Discomfort of Death Counts" for Cell's data science journal @Patterns_CP, for their series on COVID-19 & data.
I thought I would be analyzing figures – but I didn’t. Instead, it's about seeing data as humans so we can properly mourn them. 💔https://t.co/uxbfJlTWBU
— Deb Raji (@rajiinio) June 23, 2020