@article{damadi_fairness_2023,

title = {Fairness in Socio-Technical Systems: A Case Study of Wikipedia},

author = {M. S. Damadi and A. Davoust},

editor = {Alvarez C. Marutschke D.M. Takada H.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172720004&doi=10.1007%2f978-3-031-42141-9_6&partnerID=40&md5=172c8c6ae5b09536efdf983e9be965e7},

doi = {10.1007/978-3-031-42141-9_6},

issn = {03029743},

year  = {2023},

date = {2023-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {14199 LNCS},

pages = {84–100},

abstract = {Wikipedia content is produced by a complex socio-technical systems (STS), and exhibits numerous biases, such as gender and cultural biases. We investigate how these biases relate to the concepts of algorithmic bias and fairness defined in the context of algorithmic systems. We systematically review 75 papers describing different types of bias in Wikipedia, which we classify and relate to established notions of harm and normative expectations of fairness as defined for machine learning-driven algorithmic systems. In addition, by analysing causal relationships between the observed phenomena, we demonstrate the complexity of the socio-technical processes causing harm. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.},

note = {ISBN: 9783031421402 

Publisher: Springer Science and Business Media Deutschland GmbH},

keywords = {Algorithmics, Bias, Case-studies, Causal relationships, Cultural bias, Fairness, Gender bias, Machine learning, Machine-learning, Parallel processing systems, Sociotechnical systems, Wikipedia},

pubstate = {published},

tppubtype = {article}

}

@article{murray-rust_towards_2018,

title = {Towards executable representations of social machines},

author = {D. Murray-Rust and A. Davoust and P. Papapanagiotou and A. Manataki and M. Van Kleek and N. Shadbolt and D. Robertson},

editor = {Moktefi A. Bellucci F. Stapleton G.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048637678&doi=10.1007%2f978-3-319-91376-6_77&partnerID=40&md5=09d785d483cad1b02b5767278b08836b},

doi = {10.1007/978-3-319-91376-6_77},

issn = {03029743},

year  = {2018},

date = {2018-01-01},

journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},

volume = {10871 LNAI},

pages = {765–769},

abstract = {Human interaction is increasingly mediated through technological systems, resulting in the emergence of a new class of socio-technical systems, often called Social Machines. However, many systems are designed and managed in a centralised way, limiting the participants’ autonomy and ability to shape the systems they are part of. In this paper we are concerned with creating a graphical formalism that allows novice users to simply draw the patterns of interaction that they desire, and have computational infrastructure assemble around the diagram. Our work includes a series of participatory design workshops, that help to understand the levels and types of abstraction that the general public are comfortable with when designing socio-technical systems. These design studies lead to a novel formalism that allows us to compose rich interaction protocols into functioning, executable architecture. We demonstrate this by translating one of the designs produced by workshop participants into an a running agent institution using the Lightweight Social Calculus (LSC). © Springer International Publishing AG, part of Springer Nature 2018.},

note = {ISBN: 9783319913759 

Publisher: Springer Verlag},

keywords = {Calculations, Computation theory, Computational infrastructure, Executable architecture, Graphical formalisms, Inter-action protocols, Network architecture, Participatory design, Sociotechnical systems, Software prototyping, Technological system, Workshop participants},

pubstate = {published},

tppubtype = {article}

}