让推荐系统助力可持续发展与社会福祉
Recommender Systems for Social Good: The Role of Accountability and Sustainability
- 将推荐系统与联合国可持续发展目标对齐
- 通过优化模型减少碳足迹并保障公平性
- 适合关注科技向善与社会责任的研究者
本研究探讨推荐系统在推动可持续发展、社会责任与问责制方面的作用，重点关注其与联合国可持续发展目标（SDGs）的契合。随着推荐系统日益融入日常交互，它们需超越个性化，促进负责任消费、降低环境影响并推动社会福祉。本文探索了降低推荐模型碳足迹、确保公平性及实施问责机制的策略。通过采纳这些方法，推荐系统可实现可持续且有益社会的成果，使技术进步与环境可持续性和社会福祉目标相一致。
原文摘要 · Abstract (English)
This work examines the role of recommender systems in promoting sustainability, social responsibility, and accountability, with a focus on alignment with the United Nations Sustainable Development Goals (SDGs). As recommender systems become increasingly integrated into daily interactions, they must go beyond personalization to support responsible consumption, reduce environmental impact, and foster social good. We explore strategies to mitigate the carbon footprint of recommendation models, ensure fairness, and implement accountability mechanisms. By adopting these approaches, recommender systems can contribute to sustainable and socially beneficial outcomes, aligning technological advancements with the SDGs focused on environmental sustainability and social well-being.
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