On 25/5/19 7:22 am, Roger Clarke wrote:
[I'll shortly run the ruler over the OECD Principles, using as a
yardstick the collation of 10 Themes and 50 Principles ...
The score is disappointing - 40%, not the 50-70% I'd anticipated.
Feedback gratefully received:
http://rogerclarke.com/EC/AI-OECD-Eval.html
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OECD Announces AI Principles, 42 Nations Endorse
EPIC Alert 26.09
May 24, 2019
https://epic.org/alert/epic_alert_26.09.html#_1.__
The OECD this week announced the OECD Principles on Artificial
Intelligence, the first international standard for AI, with the backing
of 42 countries. The OECD AI principles make central "the rule of law,
human rights and democratic values" and set out requirements for
fairness, accountability and transparency.
OECD Secretary-General Guerra said the OECD AI principles "place the
interests of people at its heart." Guerra also quoted Alan Turing, who
once said, "We can only see a short distance ahead, but we can see
plenty there that needs to be done." Civil society groups, working
through the CSISAC, played a key role in the development of the OECD AI
Principles as did the EPIC Public Voice project.
Earlier this year, EPIC President Marc Rotenberg commended the US
administration for backing the OECD process, but also wrote in the New
York Times that there is much more to be done. "The United States must
work with other democratic countries to establish red lines for certain
AI applications and ensue fairness, accountability, and transparency as
AI systems are deployed," EPIC's Rotenberg wrote.
EPIC has also proposed the Universal Guidelines for Artificial
Intelligence as the basis for AI legislation. The Guidelines aim to
reduce bias in decisionmaking algorithms, to ensure that digital
globalization is inclusive, to create human-centered evidence-based
policy, to promote safety in AI deployment, and to rebuild trust in
institutions. The Universal Guidelines have been endorsed by more than
250 experts and 60 organizations in 40 countries.
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OECD (2019) 'Recommendation of the Council on Artificial Intelligence'
Organisation for Economic Co-operation and Development, 22 May 2019, at
https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449
Principles for responsible stewardship of trustworthy AI
1.1.Inclusive growth, sustainable development and well-being
Stakeholders should proactively engage in responsible stewardship of
trustworthy AI in pursuit of beneficial outcomes for people and the
planet, such as augmenting human capabilities and enhancing creativity,
advancing inclusion of underrepresented populations, reducing economic,
social, gender and other inequalities, and protecting natural
environments, thus invigorating inclusive growth, sustainable
development and well-being.
1.2.Human-centred values and fairness
a)AI actors should respect the rule of law, human rights and democratic
values, throughout the AI system lifecycle. These include freedom,
dignity and autonomy, privacy and data protection, non-discrimination
and equality, diversity, fairness, social justice, and internationally
recognised labour rights.
b)To this end, AI actors should implement mechanisms and safeguards,
such as capacity for human determination, that are appropriate to the
context and consistent with the state of art.
1.3.Transparency and explainability
AI Actors should commit to transparency and responsible disclosure
regarding AI systems. To this end, they should provide meaningful
information, appropriate to the context, and consistent with the state
of art:
i.to foster a general understanding of AI systems,
ii.to make stakeholders aware of their interactions with AI systems,
including in the workplace,
iii.to enable those affected by an AI system to understand the outcome,
and,
iv.to enable those adversely affected by an AI system to challenge its
outcome based on plain and easy-to-understand information on the
factors, and the logic that served as the basis for the prediction,
recommendation or decision.
1.4.Robustness, security and safety
a)AI systems should be robust, secure and safe throughout their entire
lifecycle so that, in conditions of normal use, foreseeable use or
misuse, or other adverse conditions, they function appropriately and do
not pose unreasonable safety risk.
b)To this end, AI actors should ensure traceability, including in
relation to datasets, processes and decisions made during the AI system
lifecycle, to enable analysis of the AI system’s outcomes and responses
to inquiry, appropriate to the context and consistent with the state of
art.
c)AI actors should, based on their roles, the context, and their ability
to act, apply a systematic risk management approach to each phase of the
AI system lifecycle on a continuous basis to address risks related to AI
systems, including privacy, digital security, safety and bias.
1.5.Accountability
AI actors should be accountable for the proper functioning of AI systems
and for the respect of the above principles, based on their roles, the
context, and consistent with the state of art.
--
Roger Clarke mailto:roger.cla...@xamax.com.au
T: +61 2 6288 6916 http://www.xamax.com.au http://www.rogerclarke.com
Xamax Consultancy Pty Ltd 78 Sidaway St, Chapman ACT 2611 AUSTRALIA
Visiting Professor in the Faculty of Law University of N.S.W.
Visiting Professor in Computer Science Australian National University
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