Results 31 to 40 of about 47,548 (246)
Improving fairness in machine learning systems: What do industry practitioners need?
, 2019 The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. A surge of recent work has focused on the development of algorithmic tools to assess and mitigate such ...
ACM. +28 more
core +1 more source
Artificial intelligence and UK national security: Policy considerations [PDF]
, 2020 RUSI was commissioned by GCHQ to conduct an independent research study into the use of artificial intelligence (AI) for national security purposes. The aim of this project is to establish an independent evidence base to inform future policy development ...
Babuta, Alexander +2 more
core +1 more source
Analysis of an algorithm for distributed recognition and accountability [PDF]
Proceedings of the 1st ACM conference on Computer and communications security - CCS '93, 1993 Computer and network systems are vulnerable to attacks. Abandoning the existing huge infrastructure of possibly-insecure computer and network systems is impossible, and replacing them by totally secure systems may not be feasible or cost effective.
Ko, C. +6 more
openaire +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Advanced Science, EarlyView.Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
Algorithmic Accountability, Trustworthiness and the Need to Develop new Frameworks [PDF]
, 2016 Farida Vis, Research Fellow in the Information School at the University of Sheffield, investigates the issue of trust in the debate about algorithmic accountability, arguing that we should instead focus on ‘trustworthiness’ and that now is the time for a
Vis, Farida
core
Decolonizing Information Narratives: Entangled Apocalyptics, Algorithmic Racism and the Myths of History [PDF]
, 2017 In what follows, some contemporary narratives about ‘the information society’ are interrogated from critical race theoretical and decolonial perspectives with a view to constructing a ‘counter-narrative’ purporting to demonstrate the embeddedness of ...
Ali, Syed Mustafa
core +1 more source
Accountability and the Algorithm [PDF]
, 2018 This chapter develops insights on human-shaped objects and elegance in exploring the possibility of rendering the everyday life of algorithms accountable and the form such accountability might take. Although algorithmic accountability is currently framed in terms of openness and transparency, the chapter draws on ethnographic engagements with the ...
openaire +1 more source
Ethical Precision in Nanoscale Brain Interfacing
Advanced Science, EarlyView.As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
At the Nexus of Neoliberalism, Mass Incarceration, and Scientific Racism: the Conflation of Blackness with Risk in the 21st century [PDF]
, 2020 This paper examines how the systems of power of neoliberalism, scientific racism, and mass incarceration intersect to construct and uphold the image of “black criminality” and “blackness as a risk” to society.
Sailors, Olivia C
core +1 more source
Language (Technology) is Power: A Critical Survey of "Bias" in NLP
, 2020 We survey 146 papers analyzing "bias" in NLP systems, finding that their motivations are often vague, inconsistent, and lacking in normative reasoning, despite the fact that analyzing "bias" is an inherently normative process.
Barocas, Solon +3 more
core +1 more source