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AAAI Spring Symposium
Stanford University, Palo Alto, California March 21-23, 2022
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21 John Licato Automated Ethical Reasoners Must Be Interpretation-Capable
31 Taylor Olson Towards Unifying the Descriptive and Prescriptive for Machine Ethics
33 Noah Ari, Nusrath Jahan, Johnathan Mell and Pamela Wisniewski Boiling the Frog: Ethical Leniency due to Prior Exposure to Technology
42 John Sullins and Antonio Chella Building Competent Ethical Reasoning in Robot Applications: Inner Dialog as a Step Towards Artificial Phronesis
44 Ryan Jenkins, Kristian Hammond, Sarah Loehr and Leilani Gilpin Working from the Middle Out: A Domain-Level Approach to Evaluating the Human Impacts of Machine Learning
52 Rafal Rzepka and Kenji Araki Comparison of Zero-Shot Ethical Classification With and Without Automatically Generated Consequences
112 Guy Lupo, Bao Quoc Vo and Natania Locke Risk-based continuous audit approach to AI Systems ethical compliance
116 Christopher Miller Meaningful Human Control and Ethical Neglect Tolerance; Initial Thoughts on How to Define. Model and Measure Them
117 Peggy Wu, Brett Israelsen, Hsin Fu Sinker Wu and Robert Grabowski A Tiered Approach for Ethical AI Evaluation Metrics
118 Carl Andersen, Donald Brutzman and Curtis Blais Doctrine and Ethics Compliant Autonomy Using An Ontological Framework
119 Will Fleisher Evidence of Fairness: On the Uses and Limitations of Statistical Fairness Criteria
122 Don Brutzman and Curt Blais Meaningful Metrics for Demonstrating Ethical Supervision of Unmanned Systems
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