Stephan Eggermont

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Stephan Eggermont

Stephan Eggermont

@StOnSoftware

Smalltalk, Agility (he/him) @[email protected]

参加日 Şubat 2011
733 フォロー中765 フォロワー
Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@OwenGregorian Yes, we knew that AI can do misogyny, racism, age and beauty discrimination. Anything else new?
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Owen Gregorian
Owen Gregorian@OwenGregorian·
AI can predict career success from a facial image, study finds | Computerworld By feeding a single facial image into an AI model, researchers were able to discover personality traits allowing them to predict how succesdful someone would be in their career or even in higher education. A new study by researchers from four universities claims artificial intelligence (AI) models can predict career and educational success from a single image of a person’s face. The researchers from Ivy League schools and others used photos from LinkedIn and photo directories of several top US MBA programs to determine what is called the Big Five personality traits for 96,000 graduates. It then compared those personality traits to employment outcomes and education histories of the graduates to determine correlation between the personality and success. The findings highlight the significant impact AI could have as it shapes hiring practices. Employers and job seekers are increasingly turning to generative AI (genAI) to to automate their search tasks, whether it’s creating a shortlist of candidates for a position or writing a cover letter and resume. And data shows applicants can use AI to improve the chances of getting a particular job or a company finding the perfect talent match. “I think personality affects career outcomes, and to the extent we can infer personality, we can predict their career outcomes,” said Kelly Shue, a study co-author and a Yale School of Management (SOM) finance professor. Shue also noted there are many “disturbing moral implications” related to organizations using AI models to determine personalities. “I do worry this could be used in a way — to put lightly — it could make a lot of people unhappy,” she said. “Imagine using it in a hiring setting or as part of university admissions. A firm is trying to hire the best possible workers, and now in addition to screening on standard stuff, such as where you went to school and what degrees you have and your work experience, they’re going to screen you on your personality. “I think our study may prompt [the technology’s] use, although we’re careful in the way we wrote it up in that we’re not advocating for adoption,” Shue said. Organizations have been screening job applicants based on personality for years using behavioral assessments such as Pymetrics games, which measure up to 91 personality traits that fit into 9 different categories. In fact, Shue said, “a ton” of companies already heavily use these more obvious estimates of someone’s personality, “they just haven’t been doing that from pictures of a person’s face,” she said. “I’ve known students who don’t get a callback after the behavioral assessment. So, presumably they were screened out based just on personality.” Derived from a psychology framework, the Big Five personality traits (also known as the OCEAN model) comprise: Openness (curiosity, aesthetic sensitivity, imagination); Conscientiousness (organization, productiveness, responsibility); Extraversion (sociability, assertiveness, energy level); Agreeableness (compassion, respectfulness, trust); and Neuroticism (anxiety, depression, emotional volatility). Depending on which personality trait surfaces in the AI’s assessment, a school or company might pass an applicant by. For example, someone whose photo shows a tendency toward neuroticism is less likely to be hired. “Neurotic is a very important personality trait,” Shue said. “In much of our analysis, it seems to have substantial predictive power for labor market outcomes, often going in a negative direction.” Or, for example, someone who is less conscientious might be passed over by college admissions. “I think it’s possible personality matters for admissions,” Shue said. “Maybe schools want people who are going to be successful in their future careers, maybe they want diversity in personality, but certainly personality does matter for a lot of outcomes. “To the extent that a school wants to admit a class that’s more likely to have [successful outcomes] they’d want to screen on personality.” Using a combination of computer vision and AI natural language processing (NLP) technologies, the researchers from Yale, the University of Pennsylvania, Reichman University, and Indiana University, were able to determine how the personality traits played into career and educational outcomes. While someone changing their expression in a photo could play into how the AI perceives personality, Shue said the researchers seen “stability” in results using different photographs of the same individual. “We can also use separate algorithms to determine whether a person is smiling or not and if they’re holding that smile fixed,” she said. There has already been pushback on the use of AI in culling job candidates, as the technology has proven to be flawed based on its data sources. “As AI continues to influence hiring practices, this research invites further exploration into its ethical, practical, and strategic considerations,” the study states. Shue said the research highlights how cognitive skills and personality traits are key to labor market success, and that if a photo can uncover personality, it could be equally important to other factors on a resume. “The reason we think it matters is when first companies are looking to hire, the key thing they’re looking at is education, or GPA and standardized test scores sometimes,” she said. “So, then, what we’re saying is our personality measures is in the same ballpark as those other measures or variables for how much they predict career success.” The study also highlights that individual pay varies widely, and factors like race or education explain only a small portion of this variation. For example, while education matters for income, it doesn’t account for much of the variation in pay, which also includes experience and proficiency. “Another way of looking at it,” Shue said, “is among people with say 12 years of education, there’s still huge variations in income within that group.” Read more: computerworld.com/article/380496…
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Weatherrens
Weatherrens@weatherrens·
@StOnSoftware @maartenbrink Ik draag de hulpverleningsdiensten een warm hart toe. Maar open en transparant communiceren indien zij problemen ondervinden vind ik zwaarder tellen. Dus ik deel jouw vermoeden dat het allemaal wel meeviel en de hinder niet groter dan normaal was, in het drukke Den Haag.
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Uwe Schmidt
Uwe Schmidt@DrUweSchmidt1·
@AndreasDoeh @yooHannes Der Autor: seit 17 Jahren Redakteur für Windows Die Zeitschrift: Windows Future. Dies sind die 10 relevanten Atom-Zeitschriften. Wenn Blinde von Blinden abschreiben….
Uwe Schmidt tweet mediaUwe Schmidt tweet mediaUwe Schmidt tweet mediaUwe Schmidt tweet media
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Johannes Wagner, MdB
Johannes Wagner, MdB@yooHannes·
Ich fass es nicht!!!! Nie, wirklich nie wieder dürfen Atom-Fetischisten wie Jens #Spahn, Frank #Schäffler oder Markus #Söder wieder ein politisches Amt auf Bundesebene besetzen. Sie führen unser Land in den Ruin.
Johannes Wagner, MdB tweet media
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@ingridmichon Ah, de anti-liberalen laten zich weer eens van zich horen om Nederland onveiliger te maken.
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Stephan Eggermont がリツイート
Rory - Rory20s.bsky.social
Morgen wordt er gestemd over de motie van de SP voor een correctief referendum. Willen wij dat referendum? NEE!
Rory - Rory20s.bsky.social tweet media
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@QuispelErnst Dat wisten ze toen ze er op stemden. Zeker vervelend voor de boeren die wel op een partij gestemd hebben die wel problemen kan oplossen.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
A warning what happens when a tech company prioritizes OKRs (eg "ship the new app in Q2 2024") and hitting artificial goals is what everyone optimizes for. And stops: - Listening to customers - Doing proper QA testing - Holding a new release until it is ready for prod
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@GergelyOrosz That is not a very low valuation, nor even a low one. That is a high one for a company that has not shown any signs of even a strategy for longer term survival yet
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Stephan Eggermont がリツイート
Michel Eggermont🔻 
Michel Eggermont🔻 @micheleggermont·
Omdat het een historisch feit is dat boeren over vertegenwoordigd waren als leden van de NSB en als collaborateurs cq oorlogsprofiteurs.
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@thomasfossgard @AukeHoekstra Yes, and that can not result in similar price reductions. It is of course cheaper than building one-offs. And no, there are no projects demonstrating that, there are projects demonstrating autocratic regimes ignore regulations
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Thomas Fossgard / Indie Dev
Thomas Fossgard / Indie Dev@thomasfossgard·
@StOnSoftware @AukeHoekstra If one’s going to apply wishful thinking, one should be consistent about it. Nuclear does benefit from mass buildouts, especially in series on single locations. There are projects demonstrating this today.
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AukeHoekstra
AukeHoekstra@AukeHoekstra·
Sizewell C, 2nd nuclear power plant in the UK, shows little learning. Nuclear still ~ $10 000/kW Or you could put solar on your roof: Solar ~ $2 000/kW 10 kWh/kW of battery f~ $3 000 Seasonal storage ~ $3 000/kW That's already a better deal, but... theguardian.com/business/2025/…
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AukeHoekstra
AukeHoekstra@AukeHoekstra·
By 2035 (when Sizewell C should be finished) solar will cost much less: Cost of solar panels over shingles ~ $1 500/kW 24h battery with optimum power quality ~ $1 500/kW Seasonal storage ~ $1 000/kW So keep most money in your pocket and get a system with superior reliability.
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@thomasfossgard @AukeHoekstra All new plans for nuclear have to deal with much higher risks than current plans, so no, nobody expects similar price reductions for nuclear. Cycle time for learning is far too large, so there is no way to improve
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Thomas Fossgard / Indie Dev
Thomas Fossgard / Indie Dev@thomasfossgard·
@AukeHoekstra 1. Apply the same price reduction for future nuclear. There are strong arguments for that, learning from mistakes, simplification. 2. Maybe you want a few times more storage than that.. Or please add the fossil backup to your math?
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Stephan Eggermont
Stephan Eggermont@StOnSoftware·
@StijnWenders Ze moeten eerst nog even op Blok en de woningmarkt reflecteren. Al 50 jaar VVD wanbeleid
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Weatherrens
Weatherrens@weatherrens·
@maartenbrink Wat ik dan alleen niet snap. Waarom wil de dienst dan niet zeggen hoe groot de hinder precies was? Wanneer gaan we nou eens open en transparant communiceren in Nederland?
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