Search Results for author: Thomas Krendl Gilbert

Found 11 papers, 2 papers with code

Optimization's Neglected Normative Commitments

no code implementations27 May 2023 Benjamin Laufer, Thomas Krendl Gilbert, Helen Nissenbaum

Optimization is offered as an objective approach to resolving complex, real-world decisions involving uncertainty and conflicting interests.

Dynamic Documentation for AI Systems

no code implementations20 Mar 2023 Soham Mehta, Anderson Rogers, Thomas Krendl Gilbert

In this paper, we show the limits of present documentation protocols, and argue for dynamic documentation as a new paradigm for understanding and evaluating AI systems.

Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI

no code implementations23 Feb 2023 Thomas Krendl Gilbert, Megan Welle Brozek, Andrew Brozek

AI ethics is an emerging field with multiple, competing narratives about how to best solve the problem of building human values into machines.


Reward Reports for Reinforcement Learning

1 code implementation22 Apr 2022 Thomas Krendl Gilbert, Nathan Lambert, Sarah Dean, Tom Zick, Aaron Snoswell

Building systems that are good for society in the face of complex societal effects requires a dynamic approach.

Chatbot reinforcement-learning +1

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems

1 code implementation11 Feb 2022 Thomas Krendl Gilbert, Sarah Dean, Tom Zick, Nathan Lambert

In the long term, reinforcement learning (RL) is considered by many AI theorists to be the most promising path to artificial general intelligence.

Recommendation Systems reinforcement-learning +1

Hard Choices in Artificial Intelligence

no code implementations10 Jun 2021 Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

In this paper, we examine the vagueness in debates about the safety and ethical behavior of AI systems.

AI Development for the Public Interest: From Abstraction Traps to Sociotechnical Risks

no code implementations4 Feb 2021 McKane Andrus, Sarah Dean, Thomas Krendl Gilbert, Nathan Lambert, Tom Zick

Despite interest in communicating ethical problems and social contexts within the undergraduate curriculum to advance Public Interest Technology (PIT) goals, interventions at the graduate level remain largely unexplored.

Hard Choices in Artificial Intelligence: Addressing Normative Uncertainty through Sociotechnical Commitments

no code implementations20 Nov 2019 Roel Dobbe, Thomas Krendl Gilbert, Yonatan Mintz

As AI systems become prevalent in high stakes domains such as surveillance and healthcare, researchers now examine how to design and implement them in a safe manner.


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