The benefits, risks and bounds of personalizing the alignment of large language models to individuals

HR Kirk, B Vidgen, P Röttger, SA Hale - Nature Machine Intelligence, 2024 - nature.com
Large language models (LLMs) undergo 'alignment'so that they better reflect human values
or preferences, and are safer or more useful. However, alignment is intrinsically difficult …

Datasheets for datasets help ML engineers notice and understand ethical issues in training data

KL Boyd - Proceedings of the ACM on Human-Computer …, 2021 - dl.acm.org
The social computing community has demonstrated interest in the ethical issues sometimes
produced by machine learning (ML) models, like violations of privacy, fairness, and …

Privacy legislation as business risks: How GDPR and CCPA are represented in technology companies' investment risk disclosures

RY Wong, A Chong, RC Aspegren - Proceedings of the ACM on Human …, 2023 - dl.acm.org
Power exercised by large technology companies has led to concerns over privacy and data
protection, evidenced by the passage of legislation including the EU's General Data …

Assembling accountability: algorithmic impact assessment for the public interest

E Moss, EA Watkins, R Singh, MC Elish… - Available at SSRN …, 2021 - papers.ssrn.com
Abstract The Algorithmic Impact Assessment is a new concept for regulating algorithmic
systems and protecting the public interest. Assembling Accountability: Algorithmic Impact …

A systematic literature review of human-centered, ethical, and responsible AI

M Tahaei, M Constantinides, D Quercia… - arxiv preprint arxiv …, 2023 - arxiv.org
As Artificial Intelligence (AI) continues to advance rapidly, it becomes increasingly important
to consider AI's ethical and societal implications. In this paper, we present a bottom-up …

Ores: Lowering barriers with participatory machine learning in wikipedia

A Halfaker, RS Geiger - Proceedings of the ACM on Human-Computer …, 2020 - dl.acm.org
Algorithmic systems---from rule-based bots to machine learning classifiers---have a long
history of supporting the essential work of content moderation and other curation work in …