The Presentations

Automated Ethical Reasoners Must Be Interpretation-Capable

Towards Unifying the Descriptive and Prescriptive for Machine Ethics

Boiling the Frog: Ethical Leniency due to Prior Exposure to Technology

Building Competent Ethical Reasoning in Robot Applications: Inner Dialog as a Step Towards Artificial Phronesis

Working from the Middle Out: A Domain-Level Approach to Evaluating the Human Impacts of Machine Learning

Comparison of Zero-Shot Ethical Classification With and Without Automatically Generated Consequences

Risk-based continuous audit approach to AI Systems ethical compliance

Meaningful Human Control and Ethical Neglect Tolerance; Initial Thoughts on How to Define. Model and Measure Them

A Tiered Approach for Ethical AI Evaluation Metrics

Doctrine and Ethics Compliant Autonomy Using An Ontological Framework

Evidence of Fairness: On the Uses and Limitations of Statistical Fairness Criteria

Meaningful Metrics for Demonstrating Ethical Supervision of Unmanned Systems

Automated Ethical Reasoners Must Be Interpretation-Capable

John Licato

Towards Unifying the Descriptive and Prescriptive for Machine Ethics

Taylor Olson

Boiling the Frog: Ethical Leniency due to Prior Exposure to Technology

Noah Ari, Nusrath Jahan, Johnathan Mell, and Pamela Wisniewski

Building Competent Ethical Reasoning in Robot Applications: Inner Dialog as a Step Towards Artificial Phronesis

John Sullins and Antonio Chella

Working from the Middle Out: A Domain-Level Approach to Evaluating the Human Impacts of Machine Learning

(Jenkins, R., Hammond, K., Spurlock, S. et al. Separating facts and evaluation: motivation, account, and learnings from a novel approach to evaluating the human impacts of machine learning. AI & Soc (2022). https://doi.org/10.1007/s00146-022-01417-y) Published 16 March 2022

Ryan Jenkins, Kristian Hammond, Sarah Loehr, and Leilani Gilpin

Comparison of Zero-Shot Ethical Classification With and Without Automatically Generated Consequences

Rafal Rzepka and Kenji Araki

Risk-based continuous audit approach to AI Systems ethical compliance

Guy Lupo, Bao Quoc Vo, and Natania Locke

Meaningful Human Control and Ethical Neglect Tolerance; Initial Thoughts on How to Define. Model and Measure Them

Christopher Miller

A Tiered Approach for Ethical AI Evaluation Metrics

Peggy Wu, Brett Israelsen, Hsin-Fu Wu, and Robert Grabowski

Doctrine and Ethics Compliant Autonomy Using An Ontological Framework

Don Brutzman, Curt Blais, Hsin-Fu Wu, Richard Markeloff, and Carl Andersen

Evidence of Fairness: On the Uses and Limitations of Statistical Fairness Criteria

Will Fleisher

Meaningful Metrics for Demonstrating Ethical Supervision of Unmanned Systems

Donald Brutzman and Curtis Blais

Page updated

Google Sites

Report abuse