Publication
Review of the Data Availability and Transparency Act: Progress or paralysis?
The Data Availability and Transparency Act 2022 (Cth) (Act) aims to unlock value in public sector data for the benefit of Australians.
Global | Publication | August 2017
Both incumbent and start-up technology vendors are offering new and innovative AI-enabled products and services.
Businesses in a wide range of industry sectors are pursuing AI strategies.
AI is now firmly on the Board agenda and revenue spend in the AI market is expected to be worth more than US$46 billion by 2020.
Software can make “decisions” when specified criteria are satisfied (for example, “buy” and “sell” decisions); and humans can use AI to help improve the quality of their own decision-making. Unlike other software, however, AI can make decisions autonomously without any human involvement.
AI has huge potential to bring accuracy, efficiencies, cost savings and speed to a whole range of formerly human activities and to provide entirely new insights into market and customer behaviour. It has the capability to transform businesses and the services and products they offer.
A decision to adopt AI can raise fundamental ethical and moral issues for society. These complex issues are of vital importance to our future, but they are not typically the domain of lawyers.
Our site focuses on the more granulars ethical and related legal risks that need to be managed by a business developing or using AI in whatever industry sector it occupies. As legal responsibility is a subset of moral (or ethical) responsibility, for AI to gain acceptance and be trusted in a given sector, a business will need to take into account the ethical considerations and the legal factors that flow from them.
Publication
The Data Availability and Transparency Act 2022 (Cth) (Act) aims to unlock value in public sector data for the benefit of Australians.
Publication
As discussed in our previous look at the 2025 proxy season, the rapid development of artificial intelligence (AI) technologies has elevated AI to a core governance concern for shareholders, and as AI continues to dominate headlines, the urgency of finding a balance between transparency, responsibility, and return on investment for shareholders is likely to spur a growing number of AI-related shareholder proposals in the coming years.
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