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Machine learning for a 5G future

Debiasing Word Embeddings, 2016, available at [30] Park et al, 2018: Ji Ho Park, Jamin Shin and Pascale
https://arxiv.org/pdf/1607.06520.pdf Fung, Reducing Gender Bias in Abusive Language
Detection, August, 2018, https://arxiv.org/abs/1808.07231
[21] Zhao, 2017: Jieyu Zhao, Tianlu Wang, Mark Yatskar,
Vicente Ordonez and Kai-Wei Chang, Men Also Like [31] Economist, 2018: For artificial intelligence to thrive,
Shopping: Reducing Gender Bias Amplification using it must explain itself, 15 Feb 2018, available at
Corpus-level Constraints, 29 Jul 2017, available at https://www.economist.com/science-and-
https://arxiv.org/abs/1707.09457 technology/2018/02/15/for-artificial-intelligence-to-thrive-
it-must-explain-itself
[22] Kay, 2015: Matthew Kay, Cynthia Matuszek, and Sean
A Munson, Unequal Representation and Gender [32] Weinberger, 2018: David Weinberger, Playing with AI
Stereotypes in Image Search Results for Occupations, ACM Fairness, People+AI Research Initiative, available at
CHI Conference on Human Factors in Computing Systems, https://pair-code.github.io/what-if-tool/ai-fairness.html
Apr 2015, available at
https://www.researchgate.net/publication/271196763_Uneq [33] Sczesny et al, 2016: Sabine Sczesny, Magda
ual_Representation_and_Gender_Stereotypes_in_Image_Se Formanowicz, and Franziska Moser, Can Gender-Fair
arch_Results_for_Occupations Language Reduce Gender Stereotyping and
Discrimination?, Frontiers in Psychology, 2016; 7: 25,
[23] Haraway, 1991: Donna Haraway, A Cyborg Manifesto: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4735429/
Science, Technology, and Socialist-Feminism in the Late
Twentieth Century, in Simians, Cyborgs and Women: The
Reinvention of Nature, Routledge, 1991.

[24] Harding, 2015: Sandra Harding, Objectivity and
Diversity: Another Logic of Scientific Research, University
of Chicago Press, 2015.

[25] House of Lords, 2018: House of Lords, Select
Committee on Artificial Intelligence, AI in the UK: ready,
willing and able?, 16 Apr 2018, available at
https://publications.parliament.uk/pa/ld201719/ldselect/ldai
/100/100.pdf
[26] NITI Aayog, 2018: NITI Aayog, Discussion Paper -
National Strategy for Artificial Intelligence, Jun 2018,
available at
http://niti.gov.in/writereaddata/files/document_publication/
NationalStrategy-for-AI-Discussion-Paper.pdf

[27] AI Task Force, 2018: Artificial Intelligence Task Force,
Constituted by the Ministry of Commerce and Industry,
Government of India, available at https://www.aitf.org.in/

[28] Abbasi, 2018: Ahmed Abbasi, Jingjing Li, Gari
Clifford and Herman Taylor, Make “Fairness by Design”
Part of Machine Learning, Harvard Business Review, 1
Aug, 2018, available at https://hbr.org/2018/08/make-
fairness-by-design-part-of-machine-learning

[29] Cavoukian, 2011: Ann Cavoukian, Privacy by Design -
The 7 Foundational Principles, 2011, available at
https://www.ipc.on.ca/wp-
content/uploads/Resources/7foundationalprinciples.pdf

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