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Ethics/Gov of AI

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Timnit Gebru’s Exit From Google Exposes a Crisis in AI | WIRED

https://www.wired.com/story/timnit-gebru-exit-google-exposes-crisis-in-ai/

amarashar's tagged items 12/31/2020
In solidarity with Dr. Timnit Gebru - The Stanford Daily

https://www.stanforddaily.com/2020/12/15/in-solidarity-with-dr-timnit-gebru/

amarashar's tagged items 12/15/2020
OII | AI modelling tool developed by Oxford academics incorporated into Amazon anti-bias software — Oxford Internet Institute

https://www.oii.ox.ac.uk/news/releases/ai-modelling-tool-developed-by-oxford-academics-incorporated-into-amazon-anti-bias-software/

amarashar's tagged items 12/15/2020
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics by Bo Cowgill, Fabrizio Dell'Acqua, Sam Deng, Daniel Hsu, Nakul Verma, Augustin Chaintreau :: SSRN

https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3615404&dgcid=ejournal_htmlemail_social:personality:psychology:ejournal_abstractlink

amarashar's tagged items 12/14/2020
AI loyalty: A New Paradigm for Aligning Stakeholder Interests by Anthony Aguirre, Gaia Dempsey , Harry Surden, Peter Bart Reiner :: SSRN

https://privpapers.ssrn.com/sol3/papers.cfm?abstract_id=3560653&dgcid=ejournal_htmlemail_social:personality:psychology:ejournal_abstractlink

amarashar's tagged items 12/11/2020
AI ethics pioneer's exit from Google involved research into risks and inequality in large language models | VentureBeat

https://venturebeat.com/2020/12/03/ai-ethics-pioneers-exit-from-google-involved-research-into-risks-and-inequality-in-large-language-models/

amarashar's tagged items 12/04/2020
Review into bias in algorithmic decision-making - CDEI_review_into_bias_in_algorithmic_decision-making.pdf

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/939109/CDEI_review_into_bias_in_algorithmic_decision-making.pdf

amarashar's tagged items 12/04/2020

fairness
China’s move on Ant makes the fight on Big Tech global | Financial Times

https://www.ft.com/content/51fd8d5a-bff7-484f-8703-1d5a1069aab5?accessToken=zwAAAXYe17nYkc9R_Y1av_dIT9OHAx1aEGmqtQ.MEQCIAwKJIkK2Sy4_ZhSFi8pFGfZH4bwUbg19SxAU8LVH4cgAiAV1CHohtdfxIRlT1Ft7M7xLg6BkycQ0M1Hhpp8-Kt9Tg&sharetype=gift?token=a1fe0b4c-42f5-49bc-819c-69caf2abfc52

amarashar's tagged items 12/01/2020
Evolving Procurement for Artificial Intelligence Systems in Cities and Beyond - IEEE SA Beyond Standards

https://beyondstandards.ieee.org/artificial-intelligence/evolving-procurement-for-artificial-intelligence-systems-in-cities-and-beyond/

amarashar's tagged items 11/30/2020
Using artificial intelligence to make decisions: Addressing the problem of algorithmic bias (2020) | Australian Human Rights Commission

https://humanrights.gov.au/our-work/rights-and-freedoms/publications/using-artificial-intelligence-make-decisions-addressing

amarashar's tagged items 11/30/2020

fairness bias
AI4People Summit | Towards the 7 AI Global Frameworks

https://ai4people.eu/

amarashar's tagged items 11/30/2020
When Algorithmic Fairness Fixes Fail: The Case for Keeping Humans in the Loop

https://hai.stanford.edu/blog/when-algorithmic-fairness-fixes-fail-case-keeping-humans-loop

amarashar's tagged items 11/30/2020
A Legal Approach to “Affirmative Algorithms”

https://hai.stanford.edu/blog/legal-approach-affirmative-algorithms

amarashar's tagged items 11/30/2020
Navigating the Broader Impacts of AI Research

https://nbiair.com/index.html

amarashar's tagged items 11/30/2020
Shira Mitchell on Twitter: "posted in @AnnualReviews: https://t.co/WYk8RKjVil new from v1: 1. authors @KLdivergence @alexdamour 2. evaluating a policy vs evaluating a prediction 3. fairness using data alone vs using additional context 4. examples 5. input from many, please keep pointing out what we missed" / Twitter

https://twitter.com/shiraamitchell/status/1331339479425093634

amarashar's tagged items 11/24/2020
How a compliance mindset undermines antitrust reform proposals

https://www.brookings.edu/techstream/how-a-compliance-mindset-undermines-antitrust-reform-proposals/

amarashar's tagged items 11/23/2020
Facebook’s experimental hate-speech policy seems to be working – Rest of World

https://restofworld.org/2020/pressing-pause-on-fake-news-in-myanmar/

amarashar's tagged items 11/23/2020
Diagnosing Gender Bias in Image Recognition Systems - Carsten Schwemmer, Carly Knight, Emily D. Bello-Pardo, Stan Oklobdzija, Martijn Schoonvelde, Jeffrey W. Lockhart, 2020

https://journals.sagepub.com/doi/10.1177/2378023120967171

amarashar's tagged items 11/23/2020
Algorithmic governance: A modes of governance approach - Gritsenko - - Regulation & Governance - Wiley Online Library

https://onlinelibrary.wiley.com/doi/full/10.1111/rego.12367

amarashar's tagged items 11/20/2020
(1) Rachel Thomas on Twitter: "There has been some great work on framing AI ethics issues as ultimately about power. I want to elaborate on *why* power imbalances are a problem. 1/" / Twitter

https://twitter.com/math_rachel/status/1329571046341545984

amarashar's tagged items 11/19/2020
Effective, Timely and Global:the urgent need for good Global Governance of AI

https://www.oneworldtrust.org/uploads/1/0/8/9/108989709/gg_ai_report_final.pdf

amarashar's tagged items 11/17/2020
This College Degree Is Brought to You by Amazon - WSJ

https://www.wsj.com/articles/this-college-degree-is-brought-to-you-by-amazon-11604941263?mod=rss_Technology

amarashar's tagged items 11/10/2020
Philanthropy’s Techno-Solutionism Problem – Knight Foundation

https://knightfoundation.org/philanthropys-techno-solutionism-problem/

amarashar's tagged items 11/09/2020
Revealing Bias in ‘Unbiased’ Algorithms - MacArthur Foundation

https://www.macfound.org/press/grantee-stories/revealing-bias-unbiased-algorithms/

amarashar's tagged items 11/02/2020
Where Responsible AI meets Reality: Practitioner Perspectives on Enablers for shifting Organizational Practices - 2006.12358.pdf

https://arxiv.org/pdf/2006.12358.pdf

amarashar's tagged items 10/23/2020

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