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Two of Australia’s most popular gaming platforms targeted over risks to children

The eSafety Commissioner has urged gaming providers to strengthen measures to protect young people.

Two of Australia’s most popular gaming platforms targeted over risks to children

Australia's proposed laws aim to regulate privacy risks associated with chatbots, a development made necessary by the rise of conversational AI. These laws would address concerns over how much information big AI companies gather, even from those who have never interacted with their products. While some chatbots and AI applications can remember past conversations, personalize responses, and even initiate contact, these features also present privacy issues.

According to surveys, a significant number of Australians have shared personal information with chatbots, including intimate details without knowledge or consent. This raises concerns about how this information is used, potentially for harmful purposes like influencing political views or spreading extremist beliefs. Australia is considering two sets of reforms: privacy reforms requiring fair handling of personal information and a right to erasure, as well as a digital duty of care under the Online Safety Act.

These reforms aim to ensure AI companies manage foreseeable risks from their design and operation. However, the effectiveness of these laws depends on their specific implementation details. To ensure these laws work, privacy should be integrated into conversational AI design, not hidden in settings. AI should be capable of identifying and deleting unnecessary information, while users should easily access and delete their stored data.

Additionally, personal information should not be retained indefinitely for purposes beyond the immediate request. Users should also have accessible means to find out what information is held about them and request deletion, regardless of whether they have an account. Transparency is crucial; AI companies should disclose their practices regarding third-party information detection, retention, and reuse, backed by independent testing and public reporting.

This approach would help protect individuals' privacy without stifling the use of conversational AI.

Written by urgent.news from The Conversation AU's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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