Machine culture

L Brinkmann, F Baumann, JF Bonnefon… - Nature Human …, 2023 - nature.com
The ability of humans to create and disseminate culture is often credited as the single most
important factor of our success as a species. In this Perspective, we explore the notion of …

Personalizing content moderation on social media: User perspectives on moderation choices, interface design, and labor

S Jhaver, AQ Zhang, QZ Chen, N Natarajan… - Proceedings of the …, 2023 - dl.acm.org
Social media platforms moderate content for each user by incorporating the outputs of both
platform-wide content moderation systems and, in some cases, user-configured personal …

The ethics of advanced ai assistants

I Gabriel, A Manzini, G Keeling, LA Hendricks… - arxiv preprint arxiv …, 2024 - arxiv.org
This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

Using the Veil of Ignorance to align AI systems with principles of justice

L Weidinger, KR McKee, R Everett, S Huang… - Proceedings of the …, 2023 - pnas.org
The philosopher John Rawls proposed the Veil of Ignorance (VoI) as a thought experiment
to identify fair principles for governing a society. Here, we apply the VoI to an important …

Embedding democratic values into social media AIs via societal objective functions

C Jia, MS Lam, MC Mai, JT Hancock… - Proceedings of the ACM …, 2024 - dl.acm.org
Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social
media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …

[HTML][HTML] Building Condition Auditing (BCA)—Improving Auditability—Reducing Ambiguity

J West, M Siddhpura, A Evangelista, A Haddad - Buildings, 2024 - mdpi.com
BCA methodically assesses the state of a building's deterioration to support Maintenance,
Safety, Function, and Compliance purposes. Originally used to assist in identifying urgent …

The AI learns to lie to please you: preventing biased feedback loops in machine-assisted intelligence analysis

J Stray - Analytics, 2023 - mdpi.com
Researchers are starting to design AI-powered systems to automatically select and
summarize the reports most relevant to each analyst, which raises the issue of bias in the …

Assessing language model deployment with risk cards

L Derczynski, HR Kirk, V Balachandran… - arxiv preprint arxiv …, 2023 - arxiv.org
This paper introduces RiskCards, a framework for structured assessment and
documentation of risks associated with an application of language models. As with all …

Recommend me? designing fairness metrics with providers

JJ Smith, A Satwani, R Burke, C Fiesler - Proceedings of the 2024 ACM …, 2024 - dl.acm.org
Fairness metrics have become a useful tool to measure how fair or unfair a machine
learning system may be for its stakeholders. In the context of recommender systems …

Ground (less) truth: A causal framework for proxy labels in human-algorithm decision-making

L Guerdan, A Coston, ZS Wu, K Holstein - Proceedings of the 2023 ACM …, 2023 - dl.acm.org
A growing literature on human-AI decision-making investigates strategies for combining
human judgment with statistical models to improve decision-making. Research in this area …