| How We Talk About Al (and Why It Matters)
|
2019 |
Calo, Ryan |
| Rightful Machines and Dilemmas
|
2019 |
Wright, Ava Thomas |
| (When) Can Al Bots Lie?
|
2019 |
Chakraborti, Tathagata |
| Regulating Lethal and Harmful Autonomy: Drafting a Protocol VI of the Convention on Certain Conventional Weapaons
|
2019 |
Welsh, Sean |
| IMLE An Incremental Framework for MaxSAT-Based Learning ye of Interpretable Classification Rules
|
2019 |
Ghosh, Bishwamittra |
| Loss-Aversively Fair Classification
|
2019 |
Ali, Junaid |
| Taking Advantage of Multitask Learning for Fair Classification
|
2019 |
Oneto, Luca |
| Framing Artificial Intelligence in American Newspapers
|
2019 |
Chuan, Ching-Hua |
| Human-Al Learning Performance in Multi-Armed Bandits
|
2019 |
Pandya, Ravi |
| Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2
|
2019 |
Peysakhovich, Alexander |
| Towards a Just Theory of Measurement: A Principled Social Measurement Assurance Program for Machine Learning
|
2019 |
Andrus, McKane |
| Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements
|
2019 |
Beutel, Alex |
| Artificial Intelligence’s Impact on Mental Health Treatments
|
2019 |
Ausman, Michelle C. |
| Towards Emotional Intelligence in Social Robots Designed for Children
|
2019 |
Bryant, De'Aira |
| Machine Learning in Legal Practice: Notes from Recent History
|
2019 |
Delgado, Fernando A. |
| Toward Design and Evaluation Framework for Interpretable Machine Learning Systems
|
2019 |
Mohseni, Sina |
| Toward the Engineering of Virtuous Machines
|
2019 |
Govindarajulu, Naveen Sundar |
| Requirements for an Artificial Agent with Norm Competence
|
2019 |
Malle, Bertram F. |
| Algorithmic Greenlining: An Approach to Increase Diversity
|
2019 |
Borgs, Christian |
| Epistemic Therapy for Bias in Automated Decision-Making
|
2019 |
Gilbert, Thomas Krendl |
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