Bias and Social Aspects in Search and Recommendation: First International Worksh

Bias and Social Aspects in Search and Recommendation: First International Worksh

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In today’s digital age, search engines and recommendation systems play a crucial role in shaping our online experiences. However, these systems are not without bias, and this bias can have significant implications for individuals and society as a whole.

The First International Workshop on Bias and Social Aspects in Search and Recommendation aims to bring together researchers, practitioners, and policymakers to discuss and address the challenges posed by bias in these systems. From algorithmic bias to societal implications, this workshop will explore the complex interplay between technology and society.

Join us as we delve into topics such as ethical considerations in algorithm design, transparency and accountability in recommendation systems, and the impact of bias on marginalized communities. Together, we can work towards creating more inclusive and equitable search and recommendation systems for all.

Stay tuned for updates on speakers, topics, and registration details. Let’s come together to address bias and social aspects in search and recommendation systems.
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