Value Alignment or Misalignment - What Will Keep Systems Accountable? - Thomas Arnold 001; Daniel Kasenberg; Matthias Scheutz (AAAI Workshops, 2017)

Interpretable apprenticeship learning with temporal logic specifications. - Daniel Kasenberg; Matthias Scheutz (CDC, 2017)

Stochastic Planning with Conflicting Temporal Logic Goals. - Daniel Kasenberg; Matthias Scheutz (CoRR, 2017)

Interpretable Apprenticship Learning with Temporal Logic Specifications. - Daniel Kasenberg; Matthias Scheutz (CoRR, 2017)

Norm Conflict Resolution in Stochastic Domains. - Daniel Kasenberg; Matthias Scheutz (AAAI, 2018)

Learning and Obeying Conflicting Norms in Stochastic Domains. - Daniel Kasenberg (AIES, 2018)

Norms, Rewards, and the Intentional Stance: Comparing Machine Learning Approaches to Ethical Training. - Daniel Kasenberg; Thomas Arnold 001; Matthias Scheutz (AIES, 2018)

Inverse Norm Conflict Resolution. - Daniel Kasenberg; Matthias Scheutz (AIES, 2018)

Inferring and Obeying Norms in Temporal Logic. - Daniel Kasenberg (HRI (Companion), 2018)

Quasi-Dilemmas for Artificial Moral Agents. - Daniel Kasenberg; Vasanth Sarathy; Thomas Arnold 001; Matthias Scheutz; Tom Williams 001 (CoRR, 2018)

Generating justifications for norm-related agent decisions. - Daniel Kasenberg; Antonio Roque; Ravenna Thielstrom; Meia Chita-Tegmark; Matthias Scheutz (INLG, 2019)

Engaging in Dialogue about an Agent's Norms and Behaviors. - Daniel Kasenberg; Antonio Roque; Ravenna Thielstrom; Matthias Scheutz (CoRR, 2019)

Generating Explanations for Temporal Logic Planner Decisions. - Daniel Kasenberg; Ravenna Thielstrom; Matthias Scheutz (ICAPS, 2020)

Simultaneous Representation of Knowledge and Belief for Epistemic Planning with Belief Revision. - David Buckingham; Daniel Kasenberg; Matthias Scheutz (KR, 2020)

SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning. - Vasanth Sarathy; Daniel Kasenberg; Shivam Goel; Jivko Sinapov; Matthias Scheutz (AAMAS, 2021)

Explaining in Time: Meeting Interactive Standards of Explanation for Robotic Systems. - Thomas Arnold 001; Daniel Kasenberg; Matthias Scheutz (ACM Trans. Hum. Robot Interact., 2021)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach. - Irina Jurenka; Markus Kunesch; Kevin R. McKee; Daniel Gillick; Shaojian Zhu; Sara Wiltberger; Shubham Milind Phal; Katherine L. Hermann; Daniel Kasenberg; Avishkar Bhoopchand; Ankit Anand; Miruna Pîslar; et al. (CoRR, 2024)

LearnLM: Improving Gemini for Learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Brett Wiltshire; Brian Veprek; Daniel Gillick; Daniel Kasenberg; Derek Ahmed; Irina Jurenka; James Cohan; Jennifer She; et al. (CoRR, 2024)

Evaluating Gemini in an arena for learning. - Abhinit Modi; Aditya Srikanth Veerubhotla; Aliya Rysbek; Andrea Huber; Ankit Anand; Avishkar Bhoopchand; Brett Wiltshire; Daniel Gillick; Daniel Kasenberg; Eleni Sgouritsa; Gal Elidan; Hengrui Liu; et al. (CoRR, 2025)