{"id":72134,"date":"2020-11-13T09:35:00","date_gmt":"2020-11-13T08:35:00","guid":{"rendered":"https:\/\/www.hiig.de\/virtual-clinic-increasing-fairness-in-targeted-advertising-the-risk-of-gender-stereotyping-by-job-ad-algorithms\/"},"modified":"2020-12-17T11:53:16","modified_gmt":"2020-12-17T10:53:16","slug":"virtual-clinic-targeted-advertising-gender-stereotyping-job-ad-algorithms","status":"publish","type":"post","link":"https:\/\/www.hiig.de\/en\/virtual-clinic-targeted-advertising-gender-stereotyping-job-ad-algorithms\/","title":{"rendered":"Virtual Clinic \u201cIncreasing Fairness in Targeted Advertising: The Risk of Gender Stereotyping by Job Ad Algorithms\u201d"},"content":{"rendered":"\n

Excited about cutting-edge problem-solving with concrete policy impact? Seeking new insights and networking opportunities? Become part of our February 2021 virtual clinic! Application deadline: Sunday, 6 December 2020, 11:59 pm.<\/strong><\/em><\/p>\n\n\n\n \n\n\n\n

Put yourself in the shoes of a medical professional on the job hunt. Ads for medical assistant positions keep popping up in your social media feeds. Your friend, who has a similar background, is also searching for a new position. But the job ads your friend receives are mostly for higher-paid positions, like doctor vacancies. The likely difference between the two of you? Your gender, deemed relevant by an algorithm. Similar cases of gender-based discrimination by online platforms\u2019 ad-serving algorithms are well-documented, yet there is no clear-cut solution on how to ensure that recommender systems and design choices optimised for click-rates do not reinforce gender stereotypes in the labour market. This raises urgent questions: How can we best avoid harmful societal consequences of seemingly well-intentioned targeted advertising strategies? Do we need less targeted systems for ad deliveries or ones that grant their target groups a meaningful choice regarding the kinds of job ads they are interested in? Might there even be a case to be made that targeted advertising should be stopped altogether? These are just some of the questions we would like to tackle together with you in our clinic! Join a vibrant community of excellent scholars and practitioners to explore a key challenge of online communication spaces: who gets to see what \u2013 and who decides why.<\/p>\n\n\n\n \n\n\n\n

We invite applications from professionals from academia, industry and civil society with diverse backgrounds (HR, data science, software engineering, product management and design, STS, gender studies, law, social science, and related fields) to join our virtual clinic on<\/p>\n\n\n\n


\u201cIncreasing Fairness in Targeted Advertising:<\/strong>
The Risk of Gender Stereotyping by Job Ad Algorithms\u201d<\/strong><\/h3>\n\n\n\n

hosted by the Alexander von Humboldt Institute for Internet and Society (HIIG)
between 1 – 14 February 2021 (10-20 hours per week)<\/p>\n\n\n\n

What we offer you<\/strong><\/h3>\n\n\n\n