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Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems
2021
Journal of the AIS
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., nonexplainable) artificial intelligence (AI) such as neural networks in an accountable and safe manner in organizational settings. ...
This work makes two key contributions: It introduces the concept of sociotechnical envelopment by demonstrating the ways in which an organization's successful AI envelopment depends on the interaction ...
In a corollary to this, taking a sociotechnical stance is aimed at meeting instrumental objectives (e.g., effectiveness and accuracy of the model or other artifact developed) and humanistic objectives ...
doi:10.17705/1jais.00664
fatcat:tiiusdwgj5e5reoqmddejvmcwy
Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review
2021
JMIR Human Factors
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Conclusions Human factors researchers should actively be part of efforts in AI design and implementation, as well as dynamic assessments of AI systems' effects on interaction, workflow, and patient outcomes ...
Studies are discussed based on the key principles such as evaluating workload, usability, trust in technology, perception, and user-centered design. ...
This research received no specific grant from any funding agency in public, commercial, or not-for-profit sectors. ...
doi:10.2196/28236
pmid:34142968
fatcat:oow4g56w6baw3p6tgfktstdcsq
Governance of Internet of Things and Ethics of Artificial Intelligence
2018
Revista Direitos Culturais
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On one hand, the context of hyperconnectivity can bring economic benefits to the State, companies, as well as convenience to consumers. ...
On the other hand, increasing connectivity brings significant challenges in the spheres of privacy protection and contemporary ethics, impacting, ultimately, democracy itself. ...
their design, as well as the agency of human actors in interpreting the output of algorithms in the course of making higher level decisions." 7 This discussion complements the governance review and touches ...
doi:10.20912/rdc.v13i31.2816
fatcat:jdbom36hwjgy5gltjbfx7rul4i
Cognitive Mimetics for Designing Intelligent Technologies
2018
Advances in Human-Computer Interaction
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Here, we review design mimetics as a plausible approach to address the problem of how to design generally intelligent technology. ...
Design mimetics is an important method of creation in technology design. ...
(as discussed briefly earlier), for improved object recognition in unexpected conditions. ...
doi:10.1155/2018/9215863
fatcat:fz7osub64fbw7bjsryarscyhne
Artificial intelligence and philosophical creativity: From analytics to crealectics
2020
Human Affairs
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How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? ...
Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself ...
, in order to gain insights that facilitate an automated action or a human decision. ...
doi:10.1515/humaff-2020-0053
fatcat:oesqjy3ngrfchexowmfxstnjvy
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling
[article]
2021
arXiv
pre-print
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value-sensitive design. ...
However, these models are often trained on large datasets from the internet, and as a result, may learn undesirable behaviors from this data, such as toxic or otherwise harmful language. ...
Verena Rieser's and Gavin Abercrombie's contribution was supported by the EPSRC project 'Gender Bias in Conversational AI' (EP/T023767/1). ...
arXiv:2107.03451v3
fatcat:ofl2i3btmzbmxlpozqy5iifd3e
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness discriminatory decision making: An Empirical Study
[article]
2022
arXiv
pre-print
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The design of the experiment involves studying the counterfactual impact of racial bias features present in language datasets and its associated effect on the model outcome. ...
The paper bridges the gap across the harm caused in establishing poor customer trustworthiness due to an inequitable system design and provides strong support for researchers, policymakers, and data scientists ...
Various research work critiques the importance of data mining in democratizing fairness in sociotechnical systems (Selbst et al., 2019) . ...
arXiv:2202.00471v2
fatcat:powtrxoyxbaihjnn4tmwiat6tq
Turing Commons: Responsible Research and Innovation
[article]
2021
Zenodo
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As an area of study and mode of enquiry, RRI plays a central role within academic, public, private, and third-sector organisations. ...
Furthermore, the UK Government has highlighted the importance of RRI in both of its national data and national AI strategies. ...
(as output) a decision about whether some object is present in the image. ...
doi:10.5281/zenodo.6303128
fatcat:emqiresjg5gbbaj2vzn2lpdmyy
Ethical Assurance: A practical approach to the responsible design, development, and deployment of data-driven technologies
[article]
2021
arXiv
pre-print
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as well as contribute to ongoing discussions in policy and governance. ...
Ethical assurance is presented as a structured means for unifying the myriad practical mechanisms that have been proposed, as it is built upon a process-based form of project governance that supports inclusive ...
in valuable directions, which it otherwise would not have explored. ...
arXiv:2110.05164v1
fatcat:3loqwujkpjhw7dgtctkuan64yy
Principles to Practices for Responsible AI: Closing the Gap
[article]
2020
arXiv
pre-print
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Companies have considered adoption of various high-level artificial intelligence (AI) principles for responsible AI, but there is less clarity on how to implement these principles as organizational practices ...
In turn, we argue that an impact assessment framework which is broad, operationalizable, flexible, iterative, guided, and participatory is a promising approach to close the principles-to-practices gap. ...
[29] argue that companies attempt to shift responsibility onto designers and experts in order to minimize scrutiny of business decisions. ...
arXiv:2006.04707v1
fatcat:hzv4xxhawjduppicm6mi5k4veq
State of AI Ethics Report (Volume 6, February 2022)
[article]
2022
arXiv
pre-print
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Given MAIEI's mission to democratize AI, submissions from external collaborators have featured, such as pieces on the "Challenges of AI Development in Vietnam: Funding, Talent and Ethics" and using "Representation ...
The two AI spotlights feature application pieces on "Constructing and Deconstructing Gender with AI-Generated Art" as well as "Will an Artificial Intellichef be Cooking Your Next Meal at a Michelin Star ...
AI objectives. ...
arXiv:2202.07435v1
fatcat:wbalu3j3ynelfim7eqvxcpwu3q
A Survey on Data-driven Software Vulnerability Assessment and Prioritization
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2107.08364v3 fatcat:4hr6lzre5nc6rj32bwpdzu5mtuOther Versions
The surges in SV data sources and data-driven techniques such as Machine Learning and Deep Learning have taken SV assessment and prioritization to the next level. ...
Software Vulnerabilities (SVs) are increasing in complexity and scale, posing great security risks to many software systems. ...
., KNN, Decision tree and Random forest) in predicting the severity of SVs. Later, Chen et al. ...
arXiv:2107.08364v4
fatcat:flbuoi7vszawrd57k6pbz7kvaa
On the Opportunities and Risks of Foundation Models
[article]
2021
arXiv
pre-print
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Homogenization provides powerful leverage but demands caution, as the defects of the foundation model are inherited by all the adapted models downstream. ...
To tackle these questions, we believe much of the critical research on foundation models will require deep interdisciplinary collaboration commensurate with their fundamentally sociotechnical nature. ...
In addition, we would like to especially thank Vanessa Parli for helping to organize this effort. ...
arXiv:2108.07258v2
fatcat:yktkv4diyrgzzfzqlpvaiabc2m
Civic Technologies: Research, Practice and Open Challenges
[article]
2020
arXiv
pre-print
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The workshop will be organized around three central topics: (1) discuss how the local context and infrastructure affect the design, implementation, adoption, and maintenance of civic technology; (2) identify ...
Although Computer-Supported Cooperative Work (CSCW) and Human-Computer Interaction (HCI) communities have shown a growing interest in researching issues around civic technologies, yet most research still ...
Acknowledgment This research was sponsored by CONACYT, Paraguay through the program PROCIENCIA and resources of the Fund for the Excellence in Education and Research (FEEI by its Spanish acronym), through ...
arXiv:2012.00515v1
fatcat:r7sszjpyifgnvhnmiddojwjglm
OSTP-AWhite House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence
2017
Figshare
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For the long term, we recommend policies that will encourage the designers of transformative AI systems to work together cooperatively, perhaps through multinational and multicorporate collaborations, ...
However, previous economic transitions may be poor guidance as to how this transition should be managed, and we encourage research into the likely effects of AI on the economy as well as potential policies ...
The design of AI systems like the design of other sociotechnical systems involves decisions about how to delegate sub-tasks among humans and non-humans. ...
doi:10.6084/m9.figshare.4640305
fatcat:26aelpe4ejbupao5yh2mys2pzq
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