Tag: recruitment

25 links

www.eff.org > Bennett Cyphers, Hinako Sugiyama and Katitza Rodriguez
Japan’s Rikunabi Scandal Shows The Dangers of Privacy Law Loopholes
12 may. 2021 - Technology users around the world are increasingly concerned, and rightly so, about protecting their data. But many are unaware of exactly how their data is being collected and would be shocked to learn of the scope and implications of mass consumer data collection by technology companies. For example, many vendors use tracking technologies including cookies—a small piece of text that is stored in your browser that lets websites recognize your browser, see your browsing activity or IP address but not your name or address—to build expansive profiles about user behavior over time and across apps and sites. Such data can be used to infer, predict, or evaluate information about a user or group. User profiles may or may not be accurate, fair, or discriminatory, but can still be used to inform life-altering decisions about them.
 · consent · cookies · data-protection · eu · gdpr · japan · machine-learning · recruitment · tracking

Algoritmes kunnen kans op discriminatie bij sollicitaties vergroten, maar ook verkleinen
2 sep. 2020 - Iedereen wil een eerlijke kans op een baan. We willen allemaal dat werkgevers en bemiddelaars kijken naar onze talenten, vaardigheden en ervaring en niet naar bijvoorbeeld onze leeftijd, afkomst, gender of seksuele voorkeur. Om snel te kunnen selecteren zetten steeds meer werkgevers algoritmes in. Uit nieuw onderzoek van het College voor de Rechten van de Mens, blijkt dat de inzet van algoritmes de kans op discriminatie kan vergroten, maar ook verkleinen.
 · algorithmic-bias · project-hva · recruitment

Zoekalgoritmes van vacaturesites zijn soms vooringenomen
31 mar. 2021 - Algoritmes van vacaturesites slagen er niet altijd in om genderneutraal te zoeken. Zo komt het voor dat een werkzoekende na het intikken van een zoekterm als ‘lerares’ minder vacatures te zien krijgt dan bij de zoekterm ‘leraar’ of ‘docent’. Tegelijkertijd kunnen zoekalgoritmes vooringenomenheid ook juist tegengaan. Dit blijkt uit onderzoek dat de Utrecht Data School (UDS) van de Universiteit Utrecht in opdracht van het College voor de Rechten van de Mens uitvoerde.
 · algorithmic-bias · gender · project-hva · recruitment

www.nber.org > Marianne Bertrand and Sendhil Mullainathan
Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
1 jul. 2003 - We perform a field experiment to measure racial discrimination in the labor market. We respond with fictitious resumes to help-wanted ads in Boston and Chicago newspapers. To manipulate perception of race, each resume is assigned either a very African American sounding name or a very White sounding name. The results show significant discrimination against African-American names: White names receive 50 percent more callbacks for interviews. We also find that race affects the benefits of a better resume. For White names, a higher quality resume elicits 30 percent more callbacks whereas for African Americans, it elicits a far smaller increase. Applicants living in better neighborhoods receive more callbacks but, interestingly, this effect does not differ by race. The amount of discrimination is uniform across occupations and industries. Federal contractors and employers who list Equal Opportunity Employer' in their ad discriminate as much as other employers. We find little evidence that our results are driven by employers inferring something other than race, such as social class, from the names. These results suggest that racial discrimination is still a prominent feature of the labor market.
 · black-struggle · recruitment · united-states

engineering.linkedin.com > Cagri Ozcaglar, Ketan Thakkar, Krishnaram Kenthapadi, Nadeem Anjum, Qi Guo and Sahin Cem Geyik
The AI Behind LinkedIn Recruiter search and recommendation systems
22 apr. 2019 - LinkedIn Talent Solutions serves as a marketplace for employers to reach out to potential candidates and for job seekers to find career opportunities. A key mechanism to help achieve these goals is the LinkedIn Recruiter product, which helps recruiters and hiring managers source suitable talent and enables them to identify “talent pools” that are optimized for the likelihood of making a successful hire. In this blog post, we will first highlight a few unique information retrieval, system, and modeling challenges associated with talent search and recommendation systems. We will then describe how we formulated and addressed these challenges, the overall system design and architecture, the issues encountered in practice, and the lessons learned from the production deployment of these systems at LinkedIn.
 · artificial-intelligence · linkedin · project-hva · recruitment

engineering.linkedin.com > Deepak Agarwal
An Introduction to AI at LinkedIn
9 oct. 2018 - Back in 2005, I was working in my first job at AT&T Bell Labs. The telecommunications industry was struggling due to price wars and increased competition from wireless carriers. I was left wondering what I should do as I watched colleague after colleague slowly leave to find other positions in the booming consumer internet industry spearheaded by players like Google and Yahoo!.
 · artificial-intelligence · linkedin · project-hva · recruitment

About O*NET
The O*NET Program is the nation's primary source of occupational information. Valid data are essential to understanding the rapidly changing nature of work and how it impacts the workforce and U.S. economy. From this information, applications are developed to facilitate the development and maintenance of a skilled workforce.
 · project-hva · recruitment

locusmag.com > Cory Doctorow
Past Performance is Not Indicative of Future Results
2 nov. 2020 - In “Full Employment“, my July 2020 column, I wrote, “I am an AI skeptic. I am baffled by anyone who isn’t. I don’t see any path from continuous improvements to the (admittedly impressive) ‘machine learning’ field that leads to a general AI any more than I can see a path from continuous improvements in horse-breeding that leads to an internal combustion engine.”
 · antropology · artificial-intelligence · correlation-causation · machine-learning · project-hva · recruitment · statistics · thick-description

www.californialawreview.org > Andrew D. Selbst and Solon Barocas
Big Data’s Disparate Impact
1 jun. 2016 - Advocates of algorithmic techniques like data mining argue that these techniques eliminate human biases from the decision-making process. But an algorithm is only as good as the data it works with. Data is frequently imperfect in ways that allow these algorithms to inherit the prejudices of prior decision makers. In other cases, data may simply […]
 · algorithmic-bias · black-struggle · data-mining · fairness · project-hva · racist-technology · recruitment