In April, MLex Chief Global Digital Risk Correspondent Mike Swift sat down with Benjamin Wiseman, the US Federal Trade Commission's Associate Director, Division of Privacy and Identity Protection, for a deep-dive discussion of pressing privacy issues for 2024—including child privacy and addictive algorithms, healthcare data, personal data autonomy and unfair use of AI.
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In April, MLex Chief Global Digital Risk Correspondent Mike Swift sat down with Benjamin Wiseman, the US Federal Trade Commission's Associate Director, Division of Privacy and Identity Protection, for a deep-dive discussion of pressing privacy issues for 2024—including child privacy and addictive algorithms, healthcare data, personal data autonomy and unfair use of AI.
Clash over Australia’s new merger laws focuses on future role of Federal Court
MLex Market Insight
29 minutes 4 seconds
1 year ago
Clash over Australia’s new merger laws focuses on future role of Federal Court
Australian merger laws are facing a revamp, amid concerns that the voluntary-notification system was being gamed by global dealmakers. But while there’s broad agreement that the voluntary component of the existing regime needs to be scrapped, there are divisions about which model Australia should embrace. The antitrust regulator is campaigning for a formal but speedy model; lawyers are campaigning for a US-style model that would give their clients ready access to the Federal Court of Australia. MLex has covered all the twists and turns of the debate and spoken to key players in the process, including Chief Adviser to the Competition Taskforce Marcus Bezzi and Australian Competition & Consumer Commission Chair Gina Cass-Gottlieb.
MLex Market Insight
In April, MLex Chief Global Digital Risk Correspondent Mike Swift sat down with Benjamin Wiseman, the US Federal Trade Commission's Associate Director, Division of Privacy and Identity Protection, for a deep-dive discussion of pressing privacy issues for 2024—including child privacy and addictive algorithms, healthcare data, personal data autonomy and unfair use of AI.
