Chatbot use for personal support grows<\/summary>\nConversational AI services have become a primary interface for interacting with AI models, with people increasingly turning to chatbots for personal advice, health-related questions, and emotional support. These uses offer clear potential benefits while also raising important risks.<\/p>\n<\/details>\n\n\n\nGenerative and agentic AI capabilities expand<\/summary>\nAs AI becomes more capable, risks and mitigations are evolving. Because generative AI applications increasingly link multiple models, tools, and data sources and agentic systems add greater interconnection, action, and autonomy, risk is increasingly shaped by access, permissions, memory, and use over time, requiring more dynamic governance.<\/p>\n<\/details>\n\n\n\nExposure to AI misuse increases<\/summary>\nAs AI technologies have become more accessible and capable, malicious actors have increasingly used them to scale fraud, impersonation, deepfakes, and socially engineered attacks. These technologies can enable more realistic attacks at scale, disproportionately affecting vulnerable groups and eroding trust in AI.<\/p>\n<\/details>\n\n\n\nAI regulation evolves rapidly<\/summary>\nRegulatory activity continues to intensify, with new legislation emerging as existing requirements shift to enforcement. Uncertainty persists around interpretation, timelines, and interoperability across jurisdictions even as deployers and end users require trust and assurance.<\/p>\n<\/details>\n<\/div>\n\n\n\n
Taken together, these trends reflect a shift from an era focused primarily on model capabilities to one increasingly defined by application deployment, real-world use, and societal impact.<\/p>\n<\/div>\n\n\n\n
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