Publisher Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines
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Correction to: The Ethics of AI Ethics: An Evaluation of Guidelines Thilo Hagendorff1
© Springer Nature B.V. 2020
Correction to: Minds and Machines (2020) 30:99–120 http://doi.org/10.1007/s11023-020-09517-8 In the original publication of this article, the Table 1 has been published incorrectly. Now the same has been provided in this correction.
The original article can be found online at https://doi.org/10.1007/s11023-020-09517-8. * Thilo Hagendorff thilo.hagendorff@uni‑tuebingen.de 1
Cluster of Excellence “Machine Learning: New Perspectives for Science”, University of Tuebingen, Tübingen, Germany
13
Vol.:(0123456789)
T. Hagendorff Table 1 Overview of AI ethics guidelines and the different issues they cover
x
x
x
fairness, non-discriminaon, jusce
x
x
x
x
accountability
x
x
x
x
transparency, openness
x
x
x
x
x
safety, cybersecurity
x
x
x
x
x
x
x x x
x
solidarity, inclusion, social cohesion explainability, interpretabiliy
x
science-policy link legislave framework, legal status of AI systems
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x
x x
x
x
x
x
x
x x
dual-use problem, military, AI arms race
x
x
field-specific deliberaons (health, military, mobility etc.)
x
x
x x
x
public awareness, educaon about AI and its risks
x x x
x
x
x
x
x
x
x
x
x
responsible/intensified research funding
x
x
x
x
x
human autonomy
x
x
x
future of employment/worker rights
x
x
x
x
(Campolo et al. 2017)
large statements statements collecon of on social on social different implicaons implicaons principles of AI of AI
x
x x
x
x
metaanalysis about principles for the beneficial use of AI
AI Now 2017 Report
privacy protecon
x
AI Now 2016 Report
key issue
analysis of AI principles AI principles AI prinicples AI principles abuse of the EU of the US of China of the OECD scenarios of AI
human oversight, control, auding
The Asilomar AI Principles
authors
common good, sustainability, well-being
AI4People
The Malicious Use of Arficial Intelligence
OECD Recommendaon of the Council on Arficial Intelligence
Beijing AI Principles
Report on the Future of Arficial Intelligence
The European Commission's High-Level Expert Group on Arficial Intelligence
(Organisaon (Beijing for (Future of Academy of Economic Co(Crawford (Brundage (Floridi et al. Life Instute Arficial operaon et al. 2016) et al. 2018) 2018) 2017) Intelligence and 2019) Development 2019)
(Pekka et al. (Holdren 2018) et al. 2016)
x
x
x
x
x
x x
x
x
x
none
none
x
diversity in the field of AI cerficaon for AI products
x x
x
protecon of whistleblowers cultural differences in the ethically aligned design of AI systems hidden costs (labeling, clickwork, contend moderaon, energy, resources) notes on technical implementaons
yes, but very few
none
none
none
yes
none
none
proporon of women among authors (f/m)
(8/10)
(2/3)
ns
ns
(5/21)
(5/8)
ns
(4/2)
(3/1)
length (number of words)
16546
22787
766 science/ gov./ind. 13
3249
34017
8609
646
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