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The Australian government is facing several challenges as it seeks to regulate artificial intelligence (AI), according to experts. These challenges include the potential loss of jobs to countries with looser regulations, the need to rein in the power of tech companies, and addressing biased data.

The Labor Party is currently working on a policy position and framework for the use of AI within Australia, which will become part of its national platform. The Australian Council of Trade Unions (ACTU) has also called for the establishment of a national body to regulate AI policies.

Dr. Dana McKay, a senior lecturer at RMIT University, notes that there is growing interest in promoting the ethical use of AI language models in Australia and around the world. This includes considerations such as fair compensation for content creators in relation to music and images.

Currently, there is no specific regulation governing the use of AI language models in Australia. However, the federal government has introduced voluntary guiding principles for businesses to responsibly design, develop, and implement AI solutions in the workplace.

One potential challenge in regulating AI is the risk of job automation leading to companies outsourcing work to countries with fewer restrictions. Dr. McKay argues that rather than banning automation, regulation should be based on principles.

Australia has already encountered resistance from tech companies when it introduced the News Media Bargaining Code earlier this year. This raises concerns that if multinational organizations are not based in Australia, the governments authority to regulate them may be limited.

The challenges facing Australia in regulating AI are not unique, as the European Union also plans to introduce its own AI Act by the end of the year. This Act includes significant fines for companies that put peoples safety at risk through the use of AI, among other provisions.

Addressing biases in AI models is another important issue. Guidelines in Australia currently do not specifically tackle biases in the training data used for generative AI. This lack of attention to biases can have harmful consequences, such as AI systems making decisions that disproportionately affect certain groups.

Ultimately, finding the right balance in regulating AI is crucial. Dialogues and discussions are necessary to understand the opposing views and determine what will work best for Australia. In addition to regulation, considerations must be given to the moral and ethical implications of using public data for commercial purposes and the rapid development of these technologies.

Originally posted here:
The Challenges of Regulating Artificial Intelligence in Australia - Fagen wasanni