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

[Jevan Pipitone]

"The European Union has published new guidelines on developing ethical AI"

https://www.theverge.com/2019/4/8/18300149/eu-artificial-intelligence-ai-ethical-guidelines-recommendations

https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai

https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=58477

https://www.sbs.com.au/news/eu-sets-artificial-intelligence-guidelines

Jevan.


On Sun. 26-May-19 3:42 pm, Roger Clarke wrote:
> 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.
>>
>>
>
>
-- 
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