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[…] 1. Social media accounts linked to user account 2. Profile photograph 3. Opt-ins/opt-outs for marketing & working group selections 4. W orking group membership selections 5. A free-text user account bio 6. User-user interactions — posts visible to the community , private “direct messages”, “connection/friends” selections 7. T echnical information (browser , IP address, […]

[…] 1. Social media accounts linked to user account 2. Profile photograph 3. Opt-ins/opt-outs for marketing & working group selections 4. W orking group membership selections 5. A free-text user account bio 6. User-user interactions — posts visible to the community , private “direct messages”, “connection/friends” selections 7. T echnical information (browser , IP address, […]

[…] 1. Social media accounts linked to user account 2. Profile photograph 3. Opt-ins/opt-outs for marketing & working group selections 4. W orking group membership selections 5. A free-text user account bio 6. User-user interactions — posts visible to the community , private “direct messages”, “connection/friends” selections 7. T echnical information (browser , IP address, […]

[…] 1. Social media accounts linked to user account 2. Profile photograph 3. Opt-ins/opt-outs for marketing & working group selections 4. W orking group membership selections 5. A free-text user account bio 6. User-user interactions — posts visible to the community , private “direct messages”, “connection/friends” selections 7. T echnical information (browser , IP address, […]

[…] proposals to regulate synthetic content have primarily focused on authentication, transparency, and restrictions. Generally speaking, policymakers have sought to address the potential risks of synthetic content by promoting techniques for authenticating content, establishing requirements for disclosing the use of AI, and/or setting limitations on the creation and distribution of deepfakes. Authentication techniques, which involve […]

[…] sophisticated features, but also poses a number of risks to both cybersecurity and privacy . II. Information about devices’ sensors and data practices can help people make better decisions about the technologies they use, and is thus important information to include in the IoT Label registry . III. Expanding the IoT Labeling program to […]

[…] the source, history , and/or modifications to a piece of content. 1 3 Real-time AI call detection, alerting, and blocking technologies, for example, are intended to distinguish between synthetic and non-synthetic voice content to help people determine if they’re speaking with a live human, which may help ensure that they are best situated to […]

[…] facilitate adm issions decisions,the review ershould also be aw are ofm ore generalstate consum erprivacy law s thatcoverlegalorsim ilarly significanteffects ofany autom ated decision m aking.Both Colorado43and Virginia’s44law s explicitly listeducation enrollm entin theirlistofuse cases thatw ould require an optout.D epending on the tool,these use cases m ay also be in violation ofthe term […]

[…] Communications Intern On September 28, Governor Gavin Newsom signed California AB 3030, among a host of AI bills. CA AB 3030 amended the California Health & Safety Code and requires specified healthcare entities to disclose the use of generative artificial intelligence (AI) in provider-patient communications through visual or verbal disclaimers presented before, during, and/or […]