47 papers with code • 2 benchmarks • 4 datasets

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Use these libraries to find Ethics models and implementations

Most implemented papers

Ego4D: Around the World in 3,000 Hours of Egocentric Video

ego4d/episodic-memory CVPR 2022

We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.

Aligning AI With Shared Human Values

hendrycks/ethics 5 Aug 2020

We show how to assess a language model's knowledge of basic concepts of morality.

Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity

so-cool/crossmodelfairness 14 Mar 2022

While data-driven predictive models are a strictly technological construct, they may operate within a social context in which benign engineering choices entail implicit, indirect and unexpected real-life consequences.

A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels

aauthors131/multiplexed-image-synthesis 20 May 2022

We validate these claims by generating a new experimental spatial proteomics data set from human lung adenocarcinoma tissue sections and show that a model trained on HuBMAP can accurately synthesize channels from our new data set.

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

mila-iqia/climate-cooperation-competition 15 Aug 2022

To facilitate this research, here we introduce RICE-N, a multi-region integrated assessment model that simulates the global climate and economy, and which can be used to design and evaluate the strategic outcomes for different negotiation and agreement frameworks.

Semantics derived automatically from language corpora contain human-like biases

YunjinPark/modu_project 25 Aug 2016

Here we show for the first time that human-like semantic biases result from the application of standard machine learning to ordinary language---the same sort of language humans are exposed to every day.

A Low-Cost Ethics Shaping Approach for Designing Reinforcement Learning Agents

kristery/EthicsShaping 12 Dec 2017

This paper proposes a low-cost, easily realizable strategy to equip a reinforcement learning (RL) agent the capability of behaving ethically.

Defining a Sandbox for Responsible AI

shaundsouza/ai-ecosystems-enabling SSRN 2018

While this is not the first time that we have faced this future, it is important to take cognizance of the broader issues around the ethics and governance that are prevalent today in what are early days in an industry with a smaller number of large technology players.

On Measuring Gender Bias in Translation of Gender-neutral Pronouns

nolongerprejudice/tgbi WS 2019

However, detection and evaluation of gender bias in the machine translation systems are not yet thoroughly investigated, for the task being cross-lingual and challenging to define.

Towards Empathic Deep Q-Learning

bartbussmann/EmpathicDQN 26 Jun 2019

As reinforcement learning (RL) scales to solve increasingly complex tasks, interest continues to grow in the fields of AI safety and machine ethics.