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Machine culture
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 …
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
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 …
platform-wide content moderation systems and, in some cases, user-configured personal …
The ethics of advanced ai assistants
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 …
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
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 …
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
Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social
media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …
media feeds bear nontrivial responsibility for amplifying partisan animosity: negative …
[HTML][HTML] Building Condition Auditing (BCA)—Improving Auditability—Reducing Ambiguity
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 …
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 …
summarize the reports most relevant to each analyst, which raises the issue of bias in the …
Assessing language model deployment with risk cards
This paper introduces RiskCards, a framework for structured assessment and
documentation of risks associated with an application of language models. As with all …
documentation of risks associated with an application of language models. As with all …
Recommend me? designing fairness metrics with providers
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 …
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
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 …
human judgment with statistical models to improve decision-making. Research in this area …