Ethics
67 papers with code • 2 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Ethics
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Libraries
Use these libraries to find Ethics models and implementations
Ethics (per ethics)
Most implemented papers
Ego4D: Around the World in 3,000 Hours of Egocentric Video
pyannote/pyannote-audio
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CVPR 2022
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
Aligning AI With Shared Human Values
hendrycks/ethics
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We show how to assess a language model's knowledge of basic concepts of morality.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world.
Cross-model Fairness: Empirical Study of Fairness and Ethics Under Model Multiplicity
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
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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
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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.
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Utilizing a reward model and a sufficient number of samples, our approach selects the high-quality samples, discarding those that exhibit undesired behavior, and subsequently enhancing the model by fine-tuning on these filtered samples.
Generative Artificial Intelligence in Healthcare: Ethical Considerations and Assessment Checklist
The widespread use of ChatGPT and other emerging technology powered by generative artificial intelligence (GenAI) has drawn much attention to potential ethical issues, especially in high-stakes applications such as healthcare, but ethical discussions are yet to translate into operationalisable solutions.
Semantics derived automatically from language corpora contain human-like biases
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
This paper proposes a low-cost, easily realizable strategy to equip a reinforcement learning (RL) agent the capability of behaving ethically.
