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#Bias

21 posts21 participants1 post today

I just saw a headline along the lines of "Euclid Discovers Einstein's Ring", and it got me wondering.

In the deep dark distant future, will some archaeologist or historian stumble onto this headline and, with all the evidence of reality shows, conclude that:
a) Euclid and Einstein were contemporaneous
b) In addition to being philosopher and physicist, were lovers - at least in the media
c) Either Einstein proposed marriage OR was unfaithfully planning to propose to someone else.

But that would be all too silly to contemplate, right?

(Looks at grave with two female skeletons intertwined. "They must have been sisters or close friends.")

Right??

(Looks at grave with female skeleton in full armour. "He was a mighty warrior.")

Umm...

The Conversation: AI datasets have human values blind spots − new research. “My colleagues and I at Purdue University have uncovered a significant imbalance in the human values embedded in AI systems. The systems were predominantly oriented toward information and utility values and less toward prosocial, well-being and civic values.”

https://rbfirehose.com/2025/02/11/the-conversation-ai-datasets-have-human-values-blind-spots-%e2%88%92-new-research/

ResearchBuzz: Firehose | Individual posts from ResearchBuzz · The Conversation: AI datasets have human values blind spots − new research | ResearchBuzz: Firehose
More from ResearchBuzz: Firehose

Coffee Lecture: "Love Data, Tackle Bias: Verzerrungen in (Kultur-)Datensätzen"
MORGEN 12.2., 11:00 -11:30 Uhr
online: sammlungen.io/join?utm_campaig

Datensätze sind nicht neutral, sondern spiegeln die Werte des gesellschaftlichen Kontexts wider, in dem sie entstanden sind. Daher können Kulturdatensätze Verzerrungen, sog. Bias, enthalten. Unsere Coffee Lecture zeigt anhand von Beispielen auf, wie Bias in Sammlungsdatensätzen aussehen kann & wie wir damit umgehen können.
#LoveData25 #SODaZentrum #Bias

Replied in thread

It's been proposed on fedi that with the NSA being handed a new 'naughty word' list today that including them in your communications might keep them from eavesdropping, not sure if it'll work but i'm start sprinkling these hashtags into all my posts 😆
#Bias
#DEI
#Diversity
#Diverse
#ConfirmationBias
#Equity
#Equitableness
#Feminism
#Gender
#GenderIdentity
#Inclusion
#Inclusive
#AllInclusive
#Inclusivity
#Injustice
#Intersectionality
#Prejudice
#Privilege
#RacialIdentity
#Sexuality
#Stereotypes

arXiv: Digital Gatekeeping: An Audit of Search Engine Results shows tailoring of queries on the Israel-Palestine Conflict. “To examine the extent of this tailoring, we focused on the Israel-Palestine conflict and developed a privacy-protecting tool to audit the behavior of three search engines: DuckDuckGo, Google and Yahoo. Our study focused on two main questions: (1) How do search results […]

https://rbfirehose.com/2025/02/10/digital-gatekeeping-an-audit-of-search-engine-results-shows-tailoring-of-queries-on-the-israel-palestine-conflict-arxiv/

ResearchBuzz: Firehose | Individual posts from ResearchBuzz · Digital Gatekeeping: An Audit of Search Engine Results shows tailoring of queries on the Israel-Palestine Conflict (arXiv) | ResearchBuzz: Firehose
More from ResearchBuzz: Firehose

French Court suspects X algorithm bias.

The Paris public prosecutors office has announced the opening of an investigation against the way algorithms on X function, following a notification by tech-savvy MP Eric Bothorel on 12 January.

The announcement comes just days before X's owner Elon Musk is expected in Paris for the AI Action Summit.

mediafaro.org/article/20250207

#France#X#Musk

#statstab #275 Detecting and Deterring Insufficient Effort Responding to Surveys

Thoughts: How much can you trust your participants? Very little actually. So, here are ways to identify slackers.

#survey #participants #design #error #bias #measurement

link.springer.com/article/10.1

SpringerLinkDetecting and Deterring Insufficient Effort Responding to Surveys - Journal of Business and PsychologyPurpose Responses provided by unmotivated survey participants in a careless, haphazard, or random fashion can threaten the quality of data in psychological and organizational research. The purpose of this study was to summarize existing approaches to detect insufficient effort responding (IER) to low-stakes surveys and to comprehensively evaluate these approaches. Design/Methodology/Approach In an experiment (Study 1) and a nonexperimental survey (Study 2), 725 undergraduates responded to a personality survey online. Findings Study 1 examined the presentation of warnings to respondents as a means of deterrence and showed the relative effectiveness of four indices for detecting IE responses: response time, long string, psychometric antonyms, and individual reliability coefficients. Study 2 demonstrated that the detection indices measured the same underlying construct and showed the improvement of psychometric properties (item interrelatedness, facet dimensionality, and factor structure) after removing IE respondents identified by each index. Three approaches (response time, psychometric antonyms, and individual reliability) with high specificity and moderate sensitivity were recommended as candidates for future application in survey research. Implications The identification of effective IER indices may help researchers ensure the quality of their low-stake survey data. Originality/value This study is a first attempt to comprehensively evaluate IER detection methods using both experimental and nonexperimental designs. Results from both studies corroborated each other in suggesting the three more effective approaches. This study also provided convergent validity evidence regarding various indices for IER.