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[…] often for people from underrepresented, marginalized and multimarginalized communities. Well-defined standards for consistent deployment and alignment across the industry may be beneficial. 4. Driver acceptance should be promoted through transparency about the systems’ functions and operations, as well as the handling of personal data. 5. Regulators, technology developers, and technology deployers should identify and […]

[…] networking among peers, fostering new connections and addressing common challenges. We anticipate lively group discussions and encourage active participation from each attendee. (Chatham House Rules & FPF’s Code of Conduct are to be followed please). 2024 Advisory Board Meeting Directory The directory link (COMING SOON!) will be shared here the week of the event. […]

[…] neurodata. Perhaps the most consequential call for action was the 2022 Neurorights Model Law, drafted by the Latin American and Caribbean Parliament (Parlatino), a regional organization that promotes regional integration through legislative harmonization. The model law provides both structure and foundational concepts to regulate neurotechnology, including establishing an independent oversight authority and providing redress […]

[…] often for people from underrepresented, marginalized and multimarginalized communities. Well-defined standards for consistent deployment and alignment across the industry may be beneficial. 4. Driver acceptance should be promoted through transparency about the systems’ functions and operations, as well as the handling of personal data. 5. Regulators, technology developers, and technology deployers should identify and […]

[…] Zurich, under the advisorship of Prof. Dr. Martin Vechev. His research focuses on the security and privacy of modern machine learning systems, investigating federated learning, synthetic data, code generation, and large language models. He was part of the SRI team, winning the 2023 U.S. PETs Prize Federated Learning Red Teaming Challenge organized by NIST. […]

[…] their hiring a nd employment decisions (“AI tools”). These tools can help match candidates with relevant opportunities and inform organizations’ decisions about who to recruit, hire, and promote. More broadly, they can also help candidates discover and describe their skills, fi nd new opportunities that match their experience, and suggest steps to position them […]

[…] indicated that this did “not exclude additional UOOMs from meeting the requirements” in the future. This could mean the other shortlisted opt out mechanisms (i.e., the OptOut Code or the Opt-Out Machine) or some tool that has not yet been developed may be able to be approved in the future. However, the process for […]

[…] Jersey, only the Colorado Privacy Act’s implementing regulations required that DPAs occur prior to initiating processing. Following the NetChoice v. Bonta litigation, which saw California’s Age-Appropriate Design Code Act preliminarily enjoined, this requirement could raise First Amendment concerns if it is interpreted as a prior restraint on speech. 3. Thresholds for Applicability S332 is […]

[…] one company and then shared or sold to another. While data collection can benefit both you and businesses – like connecting with friends, getting directions, or sales promotions – it can also be used in invasive ways unless you take control. You can protect your personal data and information in many ways and control […]

[…] 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 […]