Zobrazeno 1 - 10
of 454
pro vyhledávání: '"A. Winecoff"'
Autor:
Winecoff, Amy A., Bogen, Miranda
Documentation plays a crucial role in both external accountability and internal governance of AI systems. Although there are many proposals for documenting AI data, models, systems, and methods, the ways these practices enhance governance as well as
Externí odkaz:
http://arxiv.org/abs/2409.08960
Across the technology industry, many companies have expressed their commitments to AI ethics and created dedicated roles responsible for translating high-level ethics principles into product. Yet it is unclear how effective this has been in leading t
Externí odkaz:
http://arxiv.org/abs/2409.06926
Autor:
Winecoff, Amy A., Lenhard, Johannes
Proponents and developers of Web3 and blockchain argue that these technologies can revolutionize how people live and work by empowering individuals and distributing decision-making power. While technologists often have expansive hopes for what their
Externí odkaz:
http://arxiv.org/abs/2307.10222
A significant share of political discourse occurs online on social media platforms. Policymakers and researchers try to understand the role of social media design in shaping the quality of political discourse around the globe. In the past decades, sc
Externí odkaz:
http://arxiv.org/abs/2302.09540
Scholars and industry practitioners have debated how to best develop interventions for ethical artificial intelligence (AI). Such interventions recommend that companies building and using AI tools change their technical practices, but fail to wrangle
Externí odkaz:
http://arxiv.org/abs/2203.01157
Autor:
Papakyriakopoulos, Orestis, Watkins, Elizabeth Anne, Winecoff, Amy, Jaźwińska, Klaudia, Chattopadhyay, Tithi
Publikováno v:
HCAI:Human Centered AI workshop at Neural Information Processing Systems 2021
Human-centered artificial intelligence (AI) posits that machine learning and AI should be developed and applied in a socially aware way. In this article, we argue that qualitative analysis (QA) can be a valuable tool in this process, supplementing, i
Externí odkaz:
http://arxiv.org/abs/2112.03784
Simulation can enable the study of recommender system (RS) evolution while circumventing many of the issues of empirical longitudinal studies; simulations are comparatively easier to implement, are highly controlled, and pose no ethical risk to human
Externí odkaz:
http://arxiv.org/abs/2107.14333
Simulation has emerged as a popular method to study the long-term societal consequences of recommender systems. This approach allows researchers to specify their theoretical model explicitly and observe the evolution of system-level outcomes over tim
Externí odkaz:
http://arxiv.org/abs/2107.08959
Information retrieval (IR) systems often leverage query data to suggest relevant items to users. This introduces the possibility of unfairness if the query (i.e., input) and the resulting recommendations unintentionally correlate with latent factors
Externí odkaz:
http://arxiv.org/abs/1909.06429
Fashion is a unique domain for developing recommender systems (RS). Personalization is critical to fashion users. As a result, highly accurate recommendations are not sufficient unless they are also specific to users. Moreover, fashion data is charac
Externí odkaz:
http://arxiv.org/abs/1909.04496