Ethics and Society Newsletter #1

Ethics and Society Newsletter #4: Bias in Text-to-Image Models

Let's talk about biases in machine learning! Ethics and Society Newsletter #2

Ethics and Society Newsletter #6: Building Better AI: The Importance of Data Quality

Putting ethical principles at the core of the research lifecycle

The crucial human component in computing and AI

The MIT Ethics of Computing Research Symposium brought together experts and researchers working at the heart of ethical and social impact in technology.

Ethical Guidelines for developing the Diffusers library

MOSAIC: Unveiling the Moral, Social and Individual Dimensions of Large Language Models

arXiv:2603. 00048v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed in sensitive applications including psychological support, healthcare, and high-stakes decision-making.

Announcing our new Content Guidelines and Policy

Ethics Practices in AI Development: An Empirical Study Across Roles and Regions

arXiv:2508. 09219v3 Announce Type: replace-cross Abstract: Recent advances in AI applications have raised growing concerns about the need for ethical guidelines and regulations to mitigate the risks posed by these technologies.

The ethics of artificial intelligence in the life sciences: Universality, cultural diversity and an architecture of care

arXiv:2608. 05436v1 Announce Type: cross Abstract: The life sciences and health research have started to benefit from artificial intelligence, which raises ethical concerns that are real but, we argue, not special.

The Journal of Prompt-Engineered (Moral) Philosophy Or: Why AI-Assisted Ethics Research Requires Process Transparency

arXiv:2511. 08639v4 Announce Type: replace-cross Abstract: Existing AI disclosure mandates in scholarship require that AI assistance be reported but leave transparency philosophically unspecified: they fix the duty without explaining what the duty serves.

Can LLMs Imagine Moral Alternatives Beyond Binary Dilemmas?

arXiv:2606. 31213v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly deployed as moral advisors and agents, they need to address dilemmas between two competing values.