Overview
The 1st Symposium on Biases in Human Computation and Crowdsourcing will take place in Sheffield, UK, on October 21-22, 2019. This event aims to explore the cognitive biases that affect human decision-making and their implications for algorithmic systems. By addressing these biases, the symposium seeks to enhance the understanding and management of biases in hybrid systems, fostering discussions among scholars, practitioners, and industry stakeholders.
Background & Relevance
Human Computation and Crowdsourcing are increasingly integral to data management and algorithm enhancement. However, the presence of cognitive biases can significantly impact the effectiveness of these systems. Understanding how biases manifest in human interactions with algorithms is crucial for improving model interpretability and ensuring fairness in AI applications. This symposium provides a platform for interdisciplinary collaboration, drawing insights from fields such as computer science, psychology, and social sciences.
Key Details
- Event Dates: October 21-22, 2019
- Location: Sheffield, UK
- Topics of Interest:
- Biases in Human Computation and Crowdsourcing
- Human-in-the-loop systems
- Ethical considerations in AI and crowdsourcing
- Website for More Information: Event Website
- Abstract Submission Link: EasyChair Submission
Eligibility & Participation
This symposium is open to researchers, practitioners, and industry professionals interested in the intersection of human computation, crowdsourcing, and bias management. Contributions are encouraged from various disciplines, fostering a rich dialogue on the topic.
Submission or Application Guidelines
Interested participants should submit an abstract of approximately 250 words that outlines their methodologies, studies, or systems relevant to the symposium’s themes. Submissions are not anonymous, and both unpublished work and vision statements are welcome. The Program Committee will evaluate submissions based on scientific relevance, innovation, and research potential.
Additional Context / Real-World Relevance
As AI systems become more prevalent, understanding and mitigating biases is essential for ethical AI development. This symposium addresses a critical area of research that impacts various applications, from data annotation to algorithmic decision-making. By engaging in this dialogue, participants can contribute to the advancement of fair and responsible AI practices.
Conclusion
The 1st Symposium on Biases in Human Computation and Crowdsourcing presents a valuable opportunity for researchers and practitioners to engage in meaningful discussions about bias in AI systems. Interested individuals are encouraged to submit their abstracts and participate in this important conversation about the future of human computation and crowdsourcing.
Category: CFP & Deadlines
Tags: human computation, crowdsourcing, bias management, cognitive biases, AI ethics, machine learning, data science, interdisciplinary research
