Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Brent Mittelstadt"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 8 (2024)
Careless speech is a new type of harm created by large language models (LLM) that poses cumulative, long-term risks to science, education and shared social truth in democratic societies. LLMs produce responses that are plausible, helpful and confiden
Externí odkaz:
https://doaj.org/article/6f70f94c559b49c2833a12ed469418bb
Publikováno v:
Big Data & Society, Vol 9 (2022)
Firms are increasingly personalising their offers and services, leading to an ever finer-grained segmentation of consumers online. Targeted online advertising and online price discrimination are salient examples of this development. While personalisa
Externí odkaz:
https://doaj.org/article/db09792aee6747f6988f47c233355f41
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 11, p e29386 (2021)
BackgroundArtificial intelligence (AI)–driven symptom checkers are available to millions of users globally and are advocated as a tool to deliver health care more efficiently. To achieve the promoted benefits of a symptom checker, laypeople must tr
Externí odkaz:
https://doaj.org/article/2ca4855ac67548a1bfa8b243a5ea3e63
Autor:
Brent Mittelstadt
Publikováno v:
Information, Vol 8, Iss 3, p 77 (2017)
The conjunction of wireless computing, ubiquitous Internet access, and the miniaturisation of sensors have opened the door for technological applications that can monitor health and well-being outside of formal healthcare systems. The health-related
Externí odkaz:
https://doaj.org/article/a4a7b597e7b249cdab1607be6e3e4e16
Publikováno v:
AI & SOCIETY.
Artificial intelligence (AI) is increasingly relied upon by clinicians for making diagnostic and treatment decisions, playing an important role in imaging, diagnosis, risk analysis, lifestyle monitoring, and health information management. While resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc98852f6047edaa89687657cc0bc74
https://doi.org/10.1007/s00146-023-01684-3
https://doi.org/10.1007/s00146-023-01684-3
Autor:
Brent Mittelstadt
Publikováno v:
The Oxford Handbook of Digital Ethics ISBN: 9780198857815
Artificial Intelligence (AI) systems are frequently thought of as opaque, meaning their performance or logic is thought to be inaccessible or incomprehensible to human observers. Models can consist of millions of features connected in a complex web o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2b63a977e50f4a31a4dea40602a68c8
https://doi.org/10.1093/oxfordhb/9780198857815.013.20
https://doi.org/10.1093/oxfordhb/9780198857815.013.20
Publikováno v:
Nature Machine Intelligence. 3:466-472
Online targeting isolates individual consumers, causing what we call epistemic fragmentation. This phenomenon amplifies the harms of advertising and inflicts structural damage to the public forum. The two natural strategies to tackle the problem of r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caa21c4261b748d3357c44644519376e
https://doi.org/10.1038/s42256-021-00358-3
https://doi.org/10.1038/s42256-021-00358-3
Autor:
Jelena Sostar, Brent Mittelstadt, Alexander Keenan, Dianne Gove, Clementine Nordon, H Karcher, Andrew Turner, Frederic de Reydet de Vulpillieres, Zuzanna Angehrn
Publikováno v:
Angehrn, Z, Sostar, J, Nordon, C, Turner, A J, Gove, D, Karcher, H, Keenan, A, Mittelstadt, B & de Reydet de Vulpillieres, F 2020, ' Ethical and social implications of using predictive modeling for Alzheimer´s disease prevention : a systematic literature review ', Journal of Alzheimer's Disease . https://doi.org/10.3233/JAD-191159
BACKGROUND: The therapeutic paradigm in Alzheimer's disease (AD) is shifting from symptoms management toward prevention goals. Secondary prevention requires the identification of individuals without clinical symptoms, yet "at-risk" of developing AD d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6725960a0ab8c1805a6477b4b4514897
https://doi.org/10.3233/jad-191159
https://doi.org/10.3233/jad-191159
Publikováno v:
Journal of Medical Internet Research
BackgroundArtificial intelligence (AI)–driven symptom checkers are available to millions of users globally and are advocated as a tool to deliver health care more efficiently. To achieve the promoted benefits of a symptom checker, laypeople must tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc5c1e523934ee5414a7a196d389de32
http://arxiv.org/abs/2202.13444
http://arxiv.org/abs/2202.13444