28th May 2024 - 29th May 2024
Dr. Carlotta Rigotti and Dr. Eduard Fosch-Villaronga from the eLaw Center for Law and Digital Technologies at Leiden University, partner of the BIAS project, will be organising a workshop entitled “The ambitions and limitations of AI-driven recruitment and selection: Unfolding fairness and diversity bias” under the JSAI International Symposia on AI, taking place in ACT CITY Hamamatsu, Hamamatsu, Shizuoka (Japan), between the 28th and 31st of May 2024.
In recent decades, the widespread adoption of artificial intelligence (AI) applications in the labour market, particularly in recruitment and selection, has transformed hiring processes. These technologies, with their unparalleled ability to process information and make decisions at scale, have streamlined various aspects of recruitment. However, challenges arise as evidence suggests potential diversity biases and a lack of effective legal remedies to ensure a fair AI-driven hiring process.
The workshop “The ambitions and limitations of AI-driven recruitment and selection: Unfolding fairness and diversity bias” provides a cutting-edge platform for scholars and experts to engage in discussions regarding the ambitions and limitations of AI applications in the labor market, specifically in recruitment and selection. The focus extends beyond the functionalities of these technologies to encompass their profound implications on the social and ethical dimensions of hiring practices. The workshop aims to explore how these technologies shape notions of fairness and diversity bias globally and seeks collaborative efforts to move towards a more equitable and just landscape.
If you are interested in the fairness and diversity bias of AI applications in the labor market, especially for recruitment and selection, this workshop provides a dynamic and interactive forum. Through a balance of paper presentations and in-group discussions, participants gain a nuanced understanding of AI applications in the labour market, fostering collaborative discussions, knowledge exchange, and exploration of innovative ideas.
13h — 13h15 | Welcome & registration | |
13h15 — 14h | Keynote speech | Carlotta Rigotti (Leiden University) Diversity bias of AI applications in the labor market: Discussing some insights from the BIAS project |
14h — 15h30 | First panel presentation | Muhammad Jibril & Theresia Averina Florentina (Universitas Gadjah Mada), Governing AI in Hiring: An Effort to Eliminate Biased Decision
Ardianto Budi Rahmawan )Universitas Gadjah Mada), Contextualization of AI in Labour Recruiting Process: A Study from Indonesia Administrative Law |
15h30 — 16h | Coffee break | |
16h — 18h | Second panel presentation | Maka Alsandia (Norwegian University of Science and Technology) Navigating the Artificial Intelligence Dilemma: Exploring Paths for Norway’s Future
Akshaya Kamalnath (The Australian National University) From NYC with love – What Can Companies Learn from NYC’s Law about the Use of AI in Recruitment? Marisa Cruzado (IA+Igual) The Impact of Biases in HR through AI |
18h — 18h30 | Concluding remarks | Carlotta Rigotti (Leiden University) |
9h — 9h30 | Interactive panel on the assessment list of trustworthy AI | All speakers and workshop participants |
9h30 — 9h45 | Coffee break | |
9h45 — 10h30 | Interactive panel on the assessment list of trustworthy AI | All speakers and workshop participants |
If you would like to participate in the workshop, please register the workshop at registration page of JSAI International Symposia on AI 2024.
JSAI-isAI is an event that hosts multiple international workshops at the same location, providing a unique and intimate forum for colleagues in a focused discipline. JSAI-isAI also offers an important opportunity for AI researchers to come together and share their knowledge. This 16th edition of the JSAI-isAI will be held in conjunction with the JSAI annual conference (JSAI 2024) and is sponsored by the Japanese Society for Artificial Intelligence (JSAI).
English
ACT CITY Hamamatsu — Room R (51), Hamamatsu, Japan.
28th — 29th of May.
ULEIDEN