The expansion of AI involves several hot issues related to the workforce (data supply demands, disappearing professions, and undesirable working conditions) that can be overcome with the right crowdsourcing methodology. Nowadays it is important to focus on modern and effective ways to overcome these issues and keep working on critical aspects of successful data collection and labeling.

Yandex Toloka team will present “Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation” at the world’s number one conference on machine learning — NeurIPS 2020. Speakers from all over the world will discuss the future of crowdsourcing markets as well as some topics that were never brought up before:
- Remoteness. A discussion about effectiveness and efficiency of remote work on crowdsourcing platforms.
- Fairness. How the working environment (e.g., a crowdsourcing platform) may help provide executors flexibility in choosing/switching tasks and working hours.
- Mechanisms. Discussion on bilateral mechanisms that not only provide flexibility to the performers, but also guarantee the quality of the result and the efficiency of the process to the customers.

Click the link for more info on Toloka’s workshop at NeurIPS 2020.