Mitigating bias in algorithmic systems is a critical issue drawing attention across
communities within the information and computer sciences. Given the complexity of the …

Transparency and accountability have become major concerns for black-box machine
learning (ML) models. Proper explanations for the model behavior increase model …

Collaborative filtering (CF) methods are making an impact on our daily lives in a wide range
of applications, including recommender systems and personalization. Latent factor methods …

The development of artificial intelligence (AI) has significantly impacted our daily lives and
even driven new scientific discoveries. However, the modern AI models based on deep …

This project is partially funded by the European Union's Horizon 2020 research and
innovation programme under Grant Agreement No. 810105 (CyCAT). Otterbacher and …

Recommendation systems only provide more specific recommendations to users. They do
not consider giving a justification for the recommendation. However, the justification for the …

推薦システムは Web ページ, 動画配信サイト, 音楽アプリなど様々な場面で利用されている. しかし,
推薦システムの内部でどのように推薦アイテムを選んでいるのかはブラックボックスとなっており …