[LINK] EPIC: OECD Announces AI Principles, 42 Nations Endorse

[Roger Clarke]

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

______________

> 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.
> 
> _____
> 
> 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.Clarke at 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