Conference 2022

The Impact of AI on White Collar Work

Hosted by the AI-Econ Lab, Örebro University, Sweden, and Ratio

15-16 June, 2022

(Call for papers is closed.

Organised by

Sponsored by

This is the second interdisciplinary conference about the use of artificial intelligence in white collar work and implications for the labour market. White collar work is increasingly important in employment. Meanwhile, it performs a number of tasks that is susceptible to AI-induced automation. At the conference, researchers will present their current research. We welcome researchers in economics, computer-science, informatics, statistics, management and related disciplines. To benefit the research presented, we aim for an active and close interaction between participants, akin to a workshop.

Format

Every presenter is expected to be a discussant for another paper. The conference includes ample opportunities to network. 

Other attendees are welcome, subject to space limitations.

Venue: Katrinelunds Gästgiveri & Sjökrog, beautifully located by Lake Hjälmaren, 30 mins outside Örebro.

Conference accommodation is covered for presenters, while their economy travel is remunerated up to fixed amounts. Conference meals are covered for all.

Submission and registration

25 April 2022 – Submission deadline (CLOSED)

Submit abstracts (< 300 words) to 

conf-ai-econlab@oru.se

12 May – Selection, based on abstracts.

1 June – Papers to be sent by presenters to discussants.

1 June – Final date for registering (for all) by e-mailing to conf-ai-econlab@oru.se: full name, academic title, subject, organization, and country (CLOSED)

Dates and COVID-19 precautions

The conference starts early Wednesday morning and ends in mid-afternoon on Thursday.


For up-to-date Swedish COVID-19 requirements, see here. All attendees are to be fully vaccinated and symptom-free.

Programme

The full programme is available below, with embedded links to most of the papers. 

AIEL_2022_conf_program_v4.pdf

Call for papers


CfP_AI-White-Collar_June_2022_AIEL_final.pdf