Co-occurring keywords · papers mentioning both
Papers
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models
CVPR 2024
AI Audit: A Card Game to Reflect on Everyday AI Systems
AAAI 2023
A Multi-dimensional study on Bias in Vision-Language models
ACL 2023
An Analysis of Engineering Students’ Responses to an AI Ethics Scenario
AAAI 2023
Anthropomorphization of AI: Opportunities and Risks
EMNLP 2023
A Pathway Towards Responsible AI Generated Content
IJCAI 2023
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
IJCAI 2023
Beyond the AI hype: Balancing Innovation and Social Responsibility
Interspeech 2023
Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values
ACL 2023
Ethical Considerations for Responsible Data Curation
NeurIPS 2023
Exploring Social Biases of Large Language Models in a College Artificial Intelligence Course
AAAI 2023
“How Can I Code A.I. Responsibly?”: The Effect of Computational Action on K-12 Students Learning and Creating Socially Responsible A.I.
AAAI 2023
Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care
AAAI 2023
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
EACL 2023
Large Language Models as SocioTechnical Systems
EMNLP 2023
Mitigating Societal Harms in Large Language Models
EMNLP 2023
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
EMNLP 2023
Speaking Multiple Languages Affects the Moral Bias of Language Models
ACL 2023
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration
ACL 2023
Stereotypes and Smut: The (Mis)representation of Non-cisgender Identities by Text-to-Image Models
ACL 2023
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
EMNLP 2023
Towards Explainable and Accessible AI
EMNLP 2023
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation
EMNLP 2023
Understanding Ethics in NLP Authoring and Reviewing
EACL 2023
Values, Ethics, Morals? On the Use of Moral Concepts in NLP Research
EMNLP 2023