Information Governance in the AI age
This technical paper is a collaborative partnership between the Australian Human Rights Commission, Gradient Institute, Consumer Policy Research Centre, CHOICE and CSIRO’s Data61. We explore how the problem of algorithmic bias can arise in decision making that uses artificial intelligence (AI). This problem can produce unfair, and potentially unlawful, decisions. […]
To celebrate Right to Know 2020, Information Governance ANZ were delighted to host a timely discussion on the right to access information and the use of algorithms in government decision-making. This interactive forum was facilitated by Susan Bennett, Founder of InfoGovANZ and our special guests included: NSW Information Commissioner – Elizabeth […]
The US National Institute of Technology and Standards (NIST) has released a draft paper of 4 principles of explainable AI, which is one of several properties that characterise trust in AI systems. Other properties may include resiliency, reliability, bias and accountability. Usually, these terms are defined as a part or set of […]
On 16 July 2020, the European Court of Justice invalidated its previous Decision (2016/1250) and the EU-US Privacy Shield, which enabled certified companies to transfer personal data between the EU and the US. The case was brought by Max Schrems (the founder of NYOB) an Austrian resident, who had lodged […]
As a part of a wider package of strategic documents, the European Commission published a White Paper on “Artificial Intelligence: A European approach to excellence and trust”, which we brought you in our April newsletter and is available here. This Opinion presents the EDPS views on the White Paper as a […]
Addressing the relation between the EU General Data Protection Regulation (GDPR) and artificial intelligence (AI) this report considers challenges and opportunities for individuals and society, and the ways in which risks can be countered and opportunities enabled through law and technology. The study led by Professor Sartor for the Future […]
On 29 July 2020, more than New Zealand 20 Government agencies signed the Aotearoa Algorithm Charter, committing to be transparent about when they use algorithms and how those algorithms operate. This makes New Zealand the first country to develop standards governing the use of algorithms by the public sector, after […]
With the proliferation of AI principles worldwide1, industry is faced with a new challenge: how to implement these AI principles? Since 2017, the international committee responsible for the standardization of AI (SC 42) has been tackling this challenge: it is developing standards covering both technical and organisational specifications to enable […]
On 10 February 2020, the UK’s Committee on Standards in Public Life published its report on AI and its impact on Public Standards to ensure that high standards of conduct are upheld as technologically assisted decision making is adopted more widely across the public sector. The report makes clears that […]
On 7 January 2020 the White House’s Office of Science and Technology Policy (OSTP) released a draft Guidance for Regulation of AI for Federal Agencies to consider for the use of AI including: public trust, public participation, fairness, scientific integrity, risk assessment, benefits and costs, flexibility, fairness, transparency, safety and […]
The Singaporean Privacy Data Protection Commission (PDPC) released the second edition of the Model AI Governance Framework in January 2020. The Guiding Principles includes that decisions made by AI should be explainable, transparent and fair and that AI systems should be human-centric. Along with the framework is a Compendium of […]
While Automated Speech Recognition (ASR) technology has been present in various forms for decades, advances in statistical modelling, artificial intelligence (AI) and automation connectively have resulted in a new frontier for speech-based interaction between humans and computer systems. In this article Dr Peter Chapman, Director in the KPMG Forensic Technology […]
OVIC has collaborated with experts in AI including Professor Toby Walsh (UNSW and CSIRO’s Data61), Professor Richard Nock (Australian National University and CSIRO’s Data61), Dr Jake Goldenfein (Cornell Tech, Cornell University) and others to produce an e-book on AI. You can download the e-book Closer to the Machine from OVIC here
NIST has released a plan for prioritising federal agency engagement in the development of standards for AI. The plan recommends the federal government bolster AI standards-related knowledge, leadership and coordination among agencies that develop or use AI; promote focused research on the trustworthiness of AI systems; support and expand public-private […]
Roger has followed up the Guidelines with ‘Principles and Business Processes for Responsible AI’ with a view to protecting the organisation’s own interests and also those of its stakeholders and society as a whole. He presents a set of 50 Principles for Responsible AI, arising from a consolidation of proposals […]
The promise of data analytics brings with it considerable risks. Canberra-based consultant and researcher Roger Clarke recently published a set of Guidelines, whose purpose is to intercept ill-advised uses of data and analytical tools, prevent harm to important values, and assist organisations to extract the achievable benefits from data, rather […]
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (The IEEE Global Initiative) has launched Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, which is a crowd-sourced global treatise regarding the Ethics of Autonomous and Intelligent Systems. Read the report
In May 2019, the OECD adopted its Principles on Artificial Intelligence, the first international standards agreed by governments for the responsible stewardship of trustworthy AI, which include recommendations for public policy and Principles to be applied to AI developments around the world. The Principles ‘promote AI that is innovative and […]
A discussion paper developed by CSIRO’s Data 61 has been released to inform the Government’s approach to AI ethics in Australia. Your views and submissions can be made on the consultation hub here to help ensure AI is developed and applied responsibly with accountability.
