Google outed itself as purveyor of woke ideology with this "Technical Report"!
Google's excessive obsession with leftist ideology is so annoying and disturbing!
The 160 references are a compendium of leftist ideology (toxicity, bias, gender exclusivity, racism, harm reduction, marginalizing, intersection, you name it). In my estimation at least 40% are such ideological references.
Even a publication of a black female feminist titled "Demarginalizing the intersection of race and sex: A black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics" had to be included.
In their references, you find titles like
- Towards a critical race methodology in algorithmic fairness
- Is your toxicity my toxicity? Exploring the impact of rater identity on toxicity annotation
- Women also snowboard: Overcoming bias in captioning models
- Stereotyping Norwegian salmon: An inventory of pitfalls in fairness benchmark datasets
- The misgendering machines: Trans/hci implications of automatic gender recognition
- Welcome, singular "they"
- Coarse race data conceals disparities in clinical risk score performance
- Cultural incongruencies in artificial intelligence
- Characteristics of harmful text: Towards rigorous benchmarking of language models
- Re-imagining algorithmic fairness in india and beyond
- Social bias frames: Reasoning about social and power implications of language
- Annotators with attitudes: How annotator beliefs and identities bias toxic language detection
- Fairness and abstraction in sociotechnical systems
- Identifying sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
- Fairness for unobserved characteristics: Insights from technological impacts on queer communities
- “i’m sorry to hear that”: Finding new biases in language models with a holistic descriptor dataset
- Ethical and social risks of harm from language models
- Detoxifying language models risks marginalizing minority voices
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