Risks related to autonomous AI and AI safety are increasingly seen as a concern within the tech industry. As more AI applications are developed, there is a need for comprehensive, real-time and adaptive AI safety metrics that encompass ethical usage, user demographics, cyber threats and real-time vulnerabilities. Industry-wide efforts should encompass unified standards, collaboration among various stakeholders and continuous learning and adaptation. Reflecting on safety surveillance practices from other sectors, such as finance and healthcare, could also inform future AI safety efforts.
Group-IB’s Threat Intelligence and Defence Centre Equip Undergraduates with Sophisticated Cybersecurity Technologies to Boost Threat Analysis and Enhance Cyber Resilience for Campus Start-ups
Hey there from the heart of the San Francisco Bay Area! It’s an absolute pleasure to have you back again for our chat on some
