Human-centric multimodal machine learning: Recent advances and testbed on AI-based recruitment
The presence of decision-making algorithms in society is rapidly increasing nowadays,
while concerns about their transparency and the possibility of these algorithms becoming …
while concerns about their transparency and the possibility of these algorithms becoming …
Mitigating bias in algorithmic systems—a fish-eye view
Mitigating bias in algorithmic systems is a critical issue drawing attention across
communities within the information and computer sciences. Given the complexity of the …
communities within the information and computer sciences. Given the complexity of the …
Auditing algorithms: Understanding algorithmic systems from the outside in
Algorithms are ubiquitous and critical sources of information online, increasingly acting as
gatekeepers for users accessing or sharing information about virtually any topic, including …
gatekeepers for users accessing or sharing information about virtually any topic, including …
The forgotten margins of AI ethics
How has recent AI Ethics literature addressed topics such as fairness and justice in the
context of continued social and structural power asymmetries? We trace both the historical …
context of continued social and structural power asymmetries? We trace both the historical …
Why fairness cannot be automated: Bridging the gap between EU non-discrimination law and AI
In recent years a substantial literature has emerged concerning bias, discrimination, and
fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing …
fairness in artificial intelligence (AI) and machine learning. Connecting this work to existing …
Discrimination through optimization: How Facebook's Ad delivery can lead to biased outcomes
The enormous financial success of online advertising platforms is partially due to the precise
targeting features they offer. Although researchers and journalists have found many ways …
targeting features they offer. Although researchers and journalists have found many ways …
The impossibility of automating ambiguity
A Birhane - Artificial Life, 2021 - ieeexplore.ieee.org
On the one hand, complexity science and enactive and embodied cognitive science
approaches emphasize that people, as complex adaptive systems, are ambiguous …
approaches emphasize that people, as complex adaptive systems, are ambiguous …
Auditing for discrimination in algorithms delivering job ads
Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through
their targeted advertising. However, multiple studies have shown that ad delivery on such …
their targeted advertising. However, multiple studies have shown that ad delivery on such …
Affinity profiling and discrimination by association in online behavioral advertising
S Wachter - Berkeley Technology Law Journal, 2020 - JSTOR
Affinity profiling—grouping people according to their assumed interests rather than solely
their personal traits—has become commonplace in the online advertising industry. Online …
their personal traits—has become commonplace in the online advertising industry. Online …
Ancilia: Scalable intelligent video surveillance for the artificial intelligence of things
With the advancement of vision-based artificial intelligence, the proliferation of the Internet of
Things connected cameras, and the increasing societal need for rapid and equitable …
Things connected cameras, and the increasing societal need for rapid and equitable …