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[…] AI Verify, the IMDA and the PDPC hope that the global AI testing community can gravitate towards workable standards in various industries and use cases.  Third, to promote user trust, AI Verify permits organizations to conduct self-testing on premises, and also allows for third-party testing. The AI Verify Foundation, which oversees the development and […]

[…] on Privacy, Safety, and Security in Australia: Themes and Takeaways.” Read the Report Australia’s Online Safety Act of 2021 (“Online Safety Act”) mandates the development of industry codes or standards to provide appropriate community safeguards with respect to certain online content, including child sexual exploitation material, pro-terror material, crime and violence material, and drug-related […]

[…] provide this year’s opening keynote remarks. The event will be held on February 27, 2024; at the U.S. Capitol Visitor’s Center, Room SVC- 201-00. This event is free and open to the general public. Any attendees not registered in advance will not be granted entry into the event room by the Senate Appointments Desk. […]

[…] in the online services their kids use. Still, it cannot be the entire solution, and parents will not always be able to make informed decisions. Children’s design codes are placing an emphasis on the design of online services to avoid placing an overwhelming burden on the shoulders of parents. This emphasis works productively in […]

[…] – more broadly – any internet services with kids or teens as part of their audience. This panel will explore the basic principles behind Age Appropriate Design Codes, the variations in youth privacy approaches, and how global organizations are approaching these issues. Join us for a discussion to uncover these emerging issues and their […]

[…] fitness for purpose; Organizations should implement AI governance frameworks informed by the NIST AI Risk Management Framework; Organizations should not claim that AI hiring tools are “bias- free;” and AI hiring tools should be designed and operated with informed human oversight and engagement. “When properly designed and utilized, AI must process vast amounts of […]

[…] key area of concern, as well as putting in place mitigation and monitoring measures to ensure personal data generated through such tools are accurate, complete and up-to-date, free from discriminatory, unlawful, or otherwise unjustifiable effects. Other areas of concern mentioned were transparency to promote openness and explainability; production of technical documentation across the AI […]