In mid 2019, the Australian government started a consultation process in relation to an AI ethics framework. More information is here.
On the 7 November 2019 the Department for Innovation Industry and Science published the Federal Government’s Finalised Ethics Guidelines. These draw on the work of other bodies such as IEEE. See the link to the Institute’s work here. The full guidelines can be seen here.
A Directive on Automated Decision making was introduced in Canada in April 2019 with a requirement that organisations comply no later than April 2020. It is available here. In addition, an “Algorithmic Impact Assessment” (AIA) has been developed which is a questionnaire designed to help organisations assess and mitigate the risks associated with deploying an automated decision system. The AIA also helps identify the impact level of any automated decision system. It is available here.
Canada adopted a Digital Charter on the 21st May 2019, that aims to address challenges posed by digital and data transformation; see here.
Canada’s Office of the Privacy Commissioner of Canada (OPC) is currently examining artificial intelligence (AI) as it relates specifically to the Personal Information Protection and Electronic Documents Act (PIPEDA). The OPC thinks that the the PIPEDA falls short in its application to AI systems and could be enhanced. The consultation document is here.
China published an ‘AI Strategy‘ in July 2017. There is a useful paper published by the Oxford Internet Institute written on the 1st September 2019 analysing the strategy and the steps which have been taken which can be found here.
The PRC’s National New Generation Artificial Intelligence Governance Expert Committee published its “Governance Principles for a New Generation of Artificial Intelligence: Develop Responsible Artificial Intelligence” on the 17th June 2019 and a translation can be found here.
‘National Strategy for Artificial Intelligence‘, June 2018
‘Artificial Intelligence Technology Strategy‘, March 2017
The Personal Data Commission, created by the Singapore government, published in January 2019 its first edition of “A Proposed Model AI Governance Framework (Model Framework)” which is an accountability-based framework to help chart the language and frame the discussions around harnessing AI in a responsible way.
In April 2019, the US proposed the Algorithmic Accountability Act 2019. The bill that would require major tech companies to detect and remove any discriminatory biases embedded in their computer models.
New York: The New York City Council introduced, in November 2018,
a local law in relation to automated decision systems used by agencies which require the creation of a task force that provides recommendations on how information on agency automated decision systems may be shared with the public and how agencies may address instances where people are harmed by agency automated decision systems.
Washington State: A proposal to amend the Revised Code of Washington State (RCW) (that is the compilation of all permanent laws now in force in that State – see here) was discussed on the 23 January 2019 as Senate Bill 5528. It proposes a moratorium on the use of facial recognition AI: see here). It was referred to the State Committees on Environment, Energy & Technology and on Innovation, Technology & Economic Development.
There are also various US wide policies:
President Trump’s policy on AI is available here. It notes that the strategy is
… a concerted effort to promote and protect national AI technology and innovation. The Initiative implements a whole-of-government strategy in collaboration and engagement with the private sector, academia, the public, and like-minded international partners. It directs the Federal government to pursue five pillars for advancing AI: (1) promote sustained AI R&D investment, (2) unleash Federal AI resources, (3) remove barriers to AI innovation, (4) empower the American worker with AI-focused education and training opportunities, and (5) promote an international environment that is supportive of American AI innovation and its responsible use.see https://www.whitehouse.gov/ai/executive-order-ai/?utm_source=link
‘Department of Defense: artificial intelligence, big data and cloud taxonomy’, Govini, December 2017
Committee on Technology, National Science and Technology Council, Executive Office of the President ‘Preparing for the Future of Artificial Intelligence‘, October 2016.