Abstract is missing.
- Automatically explaining health informationEmiel Khramer. 1-2 [doi]
- Bias in AI-systems: A multi-step approachEirini Ntoutsi. 3-4 [doi]
- Content Selection for Explanation Requests in Customer-Care DomainLuca Anselma, Mirko Di Lascio, Dario Mana, Alessandro Mazzei, Manuela Sanguinetti. 5-10 [doi]
- ExTRA: Explainable Therapy-Related AnnotationsMat Rawsthorne, Tahseen Jilani, Jacob Andrews, Yunfei Long, Jérémie Clos, Samuel Malins, Daniel Hunt. 11-15 [doi]
- The Natural Language Pipeline, Neural Text Generation and ExplainabilityJuliette Faille, Albert Gatt, Claire Gardent. 16-21 [doi]
- Towards Harnessing Natural Language Generation to Explain Black-box ModelsEttore Mariotti, José M. Alonso, Albert Gatt. 22-27 [doi]
- Explaining Bayesian Networks in Natural Language: State of the Art and ChallengesConor Hennessy, Alberto Bugarín, Ehud Reiter. 28-33 [doi]
- Explaining data using causal Bayesian networksJaime Sevilla. 34-38 [doi]
- Towards Generating Effective Explanations of Logical Formulas: Challenges and StrategiesAlexandra Mayn, Kees van Deemter. 39-43 [doi]
- Argumentation Theoretical Frameworks for Explainable Artificial IntelligenceMartijn Demollin, Qurat-ul-ain Shaheen, Katarzyna Budzynska, Carles Sierra. 44-49 [doi]
- Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender SystemsAlisa Rieger, Mariët Theune, Nava Tintarev. 50-54 [doi]
- When to explain: Identifying explanation triggers in human-agent interactionLea Krause, Piek Vossen. 55-60 [doi]
- Learning from Explanations and Demonstrations: A Pilot StudySilvia Tulli, Sebastian Wallkötter, Ana Paiva, Francisco S. Melo, Mohamed Chetouani. 61-66 [doi]
- Generating Explanations of Action Failures in a Cognitive Robotic ArchitectureRavenna Thielstrom, Antonio Roque, Meia Chita-Tegmark, Matthias Scheutz. 67-72 [doi]