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59 votes
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Conspiracy
20 votes -
Mean World Syndrome - moderate to heavy exposure to violence-related content in mass media may cause people to perceive the world to be more dangerous than it is
36 votes -
Contempt culture and its currency
36 votes -
Gender, race, and intersectional bias in resume screening via language model
14 votes -
What’s behind the sudden surge in young Americans’ wealth?
21 votes -
How harmful are AI’s biases on diverse student populations?
9 votes -
Covert racism in AI: How language models are reinforcing outdated stereotypes
20 votes -
How US cardiologists addressed bias in a clinical algorithm - changing the predictive factor from race to location
9 votes -
The glass door of Wikipedia’s notable people
10 votes -
The Marshmallow Test and other predictors of success have bias built in, researchers say
28 votes -
It may soon be legal to jailbreak AI to expose how it works
29 votes -
Why large language models like ChatGPT treat Black- and White-sounding names differently
10 votes -
The Dunning-Kruger effect is autocorrelation
30 votes -
Doctors receptive to AI collaboration in simulated clinical case without introducing bias
6 votes -
AI models found to show language bias by recommending Black defendents be 'sentenced to death'
28 votes -
The human element in AI-driven testing strategies
7 votes -
Addressing equity and ethics in artificial intelligence
13 votes -
Coverage of Gaza War in the New York Times and other major newspapers heavily favored Israel, analysis shows
35 votes -
OECD urges Denmark to address gender stereotypes in education and suggested introducing quotas to get more women in top management
5 votes -
Join me on an exclusive tour of two remarkable fire stations in Columbus, Indiana
3 votes -
New book by doctor licensed in the UK and Brazil: poorer countries have useful knowledge and methods they could teach about frugal health care
18 votes -
This is how AI image generators see the world
16 votes -
How AI art reduces the world to stereotypes
33 votes -
What I learned about algorithmic bias from creating the first AI-generated faces on Wikimedia Commons
13 votes -
Harassment and abuse perceived to harm poor women less − new research finds a ‘thicker skin’ bias
16 votes -
The misogyny myth
30 votes -
Here's why automaticity is real actually
17 votes -
Much of the innovation in natural language processing comes from the US, resulting in an English language bias – Finland decided to change the game with a collective approach
12 votes -
Cracking the black box of deep sequence-based protein-protein interaction prediction
9 votes -
Concerns about new facial recognition software implemented by TSA at US airports
42 votes -
How culture affects the ‘Marshmallow Test’
42 votes -
America's first law regulating AI bias in hiring takes effect this week
13 votes -
GPT detectors are biased against non-native English writers
41 votes -
A. G. Sulzberger on the battles within and against The New York Times
9 votes -
Spotify breaks down the mapping tech behind its algorithm | The Tech Behind
1 vote -
These new tools let you see for yourself how biased AI image models are
7 votes -
Over-reliance on English hinders cognitive science
4 votes -
Top Down News
2 votes -
Are you pressworthy?
10 votes -
Accused of cheating by an algorithm, and a Professor she had never met. An unsettling glimpse at the digitization of education.
17 votes -
How Native Americans are trying to debug AI’s biases
4 votes -
Crime prediction software promised to be free of biases. New data shows it perpetuates them.
15 votes -
African researchers say they face bias in the world of science. Here's one solution.
6 votes -
What are your cognitive biases, and how do they affect you?
From Wikipedia: A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. Individuals create their own "subjective reality" from their perception of the input. An...
From Wikipedia:
A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world. Thus, cognitive biases may sometimes lead to perceptual distortion, inaccurate judgment, illogical interpretation, or what is broadly called irrationality.
For obvious reasons, it is much easier to identify biases in others than ourselves. Nevertheless, some of us went through practices (such as psychotherapy), experiences, and introspection that allowed us to put our biases in check. So, instead of scrutinizing the behavior of others (something that comes naturally to us, especially on the internet), here I ask you to exercise some self-criticism. What intellectual tendencies you have that obsessively repeat themselves in different contexts?
I should note that cognitive biases do not always lead to bad outcomes or falsehoods, as stated in Wikipedia:
Although it may seem like such misperceptions would be aberrations, biases can help humans find commonalities and shortcuts to assist in the navigation of common situations in life.[5]
On this thread, I am deliberately not asking about political bias or anything of the sort, including all the juicy controversial subjects surrounding it. Anything that often leads to uncivil discussion should be considered out of bounds.
For inspiration, look at this list (you don't need to identify a named bias, though... a subjective description of something you believe to be a form of bias is enough).
Dear Mods, due to the contentious nature of the subject, please feel free to act more aggressively on this topic than you currently do.
9 votes -
Trapped priors as a basic problem of rationality
3 votes -
Grammarly's predatory model and cultural biases
10 votes -
How racial bias in tech has developed the “New Jim Code”
6 votes -
Twitter to investigate apparent racial bias in photo previews
8 votes -
Physical attractiveness bias in the legal system
9 votes