Results 61 to 70 of about 5,279 (162)

AI Alignment Versus AI Ethical Treatment: 10 Challenges

Analytic Philosophy, EarlyView.
ABSTRACT A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding ...
Adam Bradley, Bradford Saad
wiley   +1 more source

Collusion in algorithmic pricing

, 2021
De senaste årens teknologiska utveckling har möjliggjort för autonoma agenter att utnyttja artificiell intelligens för att lära sig optimerade prispolicyer genom att interagera med marknaden. Både konkurrensmyndigheter och forskare har uttryckt oro för att autonoma prisoptimerande agenter som oberoende av varandra agerar på samma marknad kan lära sig ...
Löfström, Tuwe, Ralsmark, Hilda, Johansson, Ulf   +2 more
openaire   +1 more source

From Margins to Networks: Minoritized Language Digital Content Creation's Impact on Linguistic Ideologies: The Galician Case

Studies in Ethnicity and Nationalism, EarlyView.
ABSTRACT By focusing on Galician‐language online content creation through a corpus of semistructured interviews with eight professional and semiprofessional influencers, this paper examines how language ideologies surrounding minoritized languages have been shaped and reshaped because of their inclusion in the digital realm.
Ramón Brais Freire Braña
wiley   +1 more source

Rational Fair Consensus in the GOSSIP Model

, 2017
The \emph{rational fair consensus problem} can be informally defined as follows. Consider a network of $n$ (selfish) \emph{rational agents}, each of them initially supporting a \emph{color} chosen from a finite set $ \Sigma$.
Clementi, Andrea, Gualà, Luciano, Proietti, Guido, Scornavacca, Giacomo   +3 more
core   +1 more source

Regulation of Algorithmic Collusion

Proceedings of the Symposium on Computer Science and Law
Consider sellers in a competitive market that use algorithms to adapt their prices from data that they collect. In such a context it is plausible that algorithms could arrive at prices that are higher than the competitive prices and this may benefit sellers at the expense of consumers (i.e., the buyers in the market).
Jason D. Hartline, Sheng Long, Chenhao Zhang   +2 more
openaire   +2 more sources

Telecological Collapse: The Inevitability of Climate Breakdown in the Transmedial Podcast Drama Forest 404

Future Humanities, Volume 4, Issue 1, May 2026.
ABSTRACT This paper presents a close‐hearing analysis of Forest 404, a transmedial audio drama that was released to BBC Sounds in 2019. Despite the drama's eco‐dystopian critique of teleological ‘progress’ narratives (that enable and perpetuate the destruction of the natural world), I argue that the series ultimately propagates a sense of inevitability
Matilda Jones
wiley   +1 more source

Who Pays Attention Matters: How Sociodemographics and News Engagement Shape Corporate Confidence in Canada

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, Volume 43, Issue 1, March 2026.
ABSTRACT This study investigates how news engagement frequency (NEF) and marginalized sociodemographic groups (i.e., visible minorities, woman, age (younger), income (lower), disability, and first‐generation status) influence public confidence in major corporations through weighted hierarchical multiple regression analyses of 26,492 Canadian ...
Victoria Pearson, Omar H. Fares, Seung Hwan (Mark) Lee   +2 more
wiley   +1 more source

The next generation of digital currencies: in search of stability. Bruegel Policy Contribution Issue #15 December 2019 [PDF]

, 2019
Four major developments have challenged the status quo and reopened the debate on the forms that money will take in the future: 1) use of cash as a medium of exchange has declined; 2) distributed ledger technology (DLT) has led to the emergence of ...
Claeys, Grégory, Demertzis, Maria
core  

A Group Fit Statistic for the Multilevel Item Response Model

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Aberrant behaviors among test‐takers in large‐scale assessments are often more prevalent within specific groups or testing sites. While various techniques have been developed to detect individual‐level test‐takers' aberrant behaviors, research in detecting those behaviors at the group level is rare. We propose a group fit statistic lz2$ l_{z2}$
Yishan Ding, Ji Seung Yang, Youngjin Han
wiley   +1 more source

Interdomain routing and games [PDF]

We present a game-theoretic model that captures many of the intricacies of \emph{interdomain routing} in today's Internet. In this model, the strategic agents are source nodes located on a network, who aim to send traffic to a unique destination node ...
Levin, Hagay, Schapira, Michael, Zohar, Aviv   +2 more
core   +1 more source