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The article "Special Issue on Responsible Recommender Systems Part 2" published in ACM Transactions on Intelligent Systems & Technology discusses the importance of responsible recommender systems in various domains such as e-commerce, social networks, and healthcare. It highlights the potential negative impacts of biased or untrustworthy recommendation algorithms on users and society. The article presents recent advances in addressing fairness, biases, explainability, trustworthiness, robustness, and privacy in recommender systems, emphasizing the need for a holistic approach to ensure responsible recommendations. The guest editors express gratitude to the authors, reviewers, and editorial team for their contributions to the special issue. [Extracted from the article]

This article discusses the importance of responsible recommender systems, which are information filtering systems that suggest personalized recommendations to users. While existing recommender systems focus on accuracy and personalization, there is a growing need for these systems to also work responsibly to avoid negative effects on users and society. The article highlights various challenges and threats in technical, social, and ethical contexts that need to be addressed. It also presents recent advances and contributions in the field of responsible recommender systems, covering topics such as bias, debiasing, miscalibration, privacy and security, fairness, and explainability. [Extracted from the article]