initially optimistic and initially pessimistic job seekers find employment more quickly when holding more accurate beliefs."
#LaborMarkets #jobtech #wageTransparency
orig https://fediscience.org/@davdittrich/116013223716586827 4/4
🚀 LinkedIn is changing the game in job recommendations with smarter AI models, boosting accuracy & personalization! 🤖✨ What are your thoughts on AI in job hunting? 💼 #AI #JobTech #Innovation LINK
cultivate #trust, performance, and, with it, an employer brand at scale. Every organization claims to put people first. The ones that succeed are those whose processes prove it."
#LaborMarkets #jobtech #hiring
orig https://fediscience.org/@davdittrich/115907416030795646 3/3
WorkIndia has secured $10.8 Mn in Series B funding, led by Avishkaar Capital with participation from BEENEXT Capital. The funds will enhance the platform and expand into high-demand markets.
#WorkIndia #StartupFunding #HRTech #JobTech #BlueCollarJobs #deccanfounders
for workers’ own skills. Although only a minority of applications used the tool, the overall correlation between cover letter tailoring and callbacks fell by 51%, implying that cover letters became less informative signals of worker ability in the age of AI."
#LaborMarkets #jobtech
orig 3/4
#Signaling in the Age of AI: Evidence from Cover Letters d.repec.org/n
"While #AI tools allow freelancers to produce more polished and tailored applications with less effort, our findings suggest that they fundamentally reshape how employers […]
not only for the technical refinement of NLP systems, but for ensuring that their real-world applications advance rather than hinder equity"
#jobtech #gender #discrimination #LaborEconomics #llm
orig https://fediscience.org/@davdittrich/115333782742120468 4/4
the one hand, choosing a model with apparent good performance but that in turn shows a considerable gender gap may not only be ethically questionable, but it may also result in reputation and even legal consequences on the company responsible for it."
#llm #jobtech #discrimination 4/5
Mind the Gap: Gender-based Differences in Occupational Embeddings
https://aclanthology.org/2025.gebnlp-1.7.pdf
"Across five state-of-the-art multilingual models and seven reference-set configurations, up to 82% of gendered pairs received divergent Top-5 suggestions. These differences involved […]
Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages
https://www.arxiv.org/pdf/2509.13803
"… propose a methodology to measure gender bias in a high-impact #NLP application in the human resources domain: job title matching. Using an existing test set in English for this […]
old-fashioned networking: asking recruiters out for coffee, going to in-person job events, and surveying friends and former employers for leads."
#jobTech #LaborMarkets
orig https://fediscience.org/@davdittrich/115259652385506828 3/3
applicants to get seen are backfiring, forcing me to go to longer and longer lengths to filter out the noise and #AI fraud,"
#jobTech #LaborMarkets #classifieds
orig https://fediscience.org/@davdittrich/115259624885509010 3/3
People are using ChatGPT to write their applications; HR is using AI to read them; no one is getting hired.
www.theatlantic.com/ideas/archive/2025/09/jo...
"Online #hiring platforms have made it easier to find an opening but harder to secure one: Applicants send out […]
Companies are rethinking online job applications, seeking quality over quantity
https://archive.ph/Vn52u#selection-559.0-574.0
"Companies fed up with the low-quality, sometimes fraudulent submissions that flood applicant-tracking systems are reaching back in time for hard-to-hack recruiting […]
need tailor-made salary models to generate proper, unbiased salary benchmarks. A #llm is not enough.
#jobtech #LaborMarkets
orig https://fediscience.org/@davdittrich/114913816727394210 5/5
Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models https://arxiv.org/pdf/2506.10491
"… the estimation of socio-economic parameters shows substantially more bias than subject-based benchmarking. Furthermore, such a setup is closer to a real conversation with an AI […]
are backing away from their own technology during the #hiring process
… Even when AI screening tools work as intended, they exhibit similar #biases to human recruiters, preferring white male names on résumés—raising legal concerns about #discrimination"
#jobtech #LaborMarkets
orig 3/4
The résumé is dying, and AI is holding the smoking gun arstechnica.com/ai/2025/06/the-resume-is...
"Some candidates are now taking automation even further, paying for #AI agents that autonomously find jobs and submit applications on their behalf.
… […]
selection constraints but also negatively affect the expected quality of hires. This suggests a critical design insight: screening algorithms should be constructed to complement, rather than replicate, managerial evaluations."
#LaborMarkets #jobtech #bias #EconSky
orig 5/6
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes https://arxiv.org/pdf/2505.14388
"… achieving gender parity at the shortlist stage does not inherently guarantee #gender parity in final hires, even if hiring managers are gender-unbiased.
… the […]
Still getting ignored after sending resumés?
Try a video job proposal—the 2025 hiring trend helping candidates stand out, show real personality, and actually get noticed by recruiters. Your future job could start with a play button.
#NextGenResumes #JobTech #Klinx #CareerTools #WorkCultureMatch
selection with probit models, too. There is no reason to dismiss the probit model in such an unfair comparison.
#jobtech #LaborEconomics #ML #EconSky
orig https://fediscience.org/@davdittrich/114613893613644026 4/4
Behavioral Measures Improve AI Hiring: A Field Experiment https://d.repec.org/n?u=RePEc:rco:dpaper:532&r=&r=ain
"… suggest that survey-based behavioral measures markedly improve the predictions of a random-forest algorithm trained to predict productivity within sample relative to demographic […]
and diversity within firms"
#AI #jobtech #ExperimentalEcon #LaborEconomics #discrimination #bias #EconSky
orig https://fediscience.org/@davdittrich/114603263874010323 3/3
Who Gets the Callback? Generative AI and Gender Bias d.repec.org/n
"… most #llm models reproduce stereotypical gender associations and systematically recommend equally qualified women for lower-wage roles, indicating occupational segregation.
… […]
process."
#LaborMarkets #jobtech #EconSky
orig https://fediscience.org/@davdittrich/114422783886681027 3/3
A Bridge Too Far: Signalling Effects of Artificial Intelligence Evaluation of Job Interviews d.repec.org/n
"…investigate whether AI evaluation is interpreted as a positive (high innovativeness) or negative (low people orientation) signal by the […]
2/ Novo README.md já tá no ar:
📖 github.com/luismr/the-p...
Spoiler: tá mais organizado que muita squad por aí.
#python #jobtech
Sometimes, you just have to post something to get started. So, here goes...
Hiring and the platforms companies use to manage applicants are broken.
Join us at werqai.com to be part of the solution.
#FutureOfWork #HRTech #JobTech #GetHired
image
Design a job seeker's dream product: Easy resumes, perfect job matches 💼
NextSprints tackles this PM challenge. Curious?
#ProductManagement #NextSprints #JobTech
