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The assumption that the US holds a durable lead in AI model performance is not well-supported by the data, and that is just one of the uncomfortable findings in Stanford University’s 2026 AI Index Report, published this week. The report, produced by Stanford’s Institute for Human-Centred Artificial Intelligence, is a 423-page annual assessment of where […]
The US-China AI gap closed. The responsible AI gap didn’t Read More »
Artificial Intelligence is no longer a futuristic concept or an experimental capability. In 2026, AI has firmly embedded itself into core business operations—powering decisions in hiring, finance, healthcare, customer experience, and beyond. This shift brings a fundamental change: AI risk is now business risk. For Quality Engineering teams, especially QA leaders, this marks a turning
AI Risk & Compliance in 2026: Why QA Teams Must Lead the Shift Read More »
As a public sector leader, the pressure to resolve operational issues in your organization is constant, and you may be considering new or better AI models, AI agents or more broadly applied generative AI (GenAI) applications. At the same time, growing use of AI can raise issues related to accountability, […] The post Five imperatives
Five imperatives for responsible AI in government Read More »
As AI agents act autonomously in public spaces, recent incidents highlight the urgent need for strong guardrails, ethical alignment, and human judgment to ensure AI augments society rather than undermines trust, work, and human connection. The post A New Frontier for AI Agents: Human Interaction appeared first on SAS Blogs.
Artificial intelligence is quietly undergoing one of its most important shifts yet. For years, AI agents were largely confined to text—answering questions, generating content, or automating simple, rule-based tasks. Useful, yes—but limited. That limitation is now disappearing. We’re entering the era of Multimodal AI Agents—systems that can see, hear, read, reason, and act across multiple
The Rise of Multimodal AI Agents: Smarter Systems or a Bigger Risk? Read More »
Artificial Intelligence is evolving at a speed few technologies in history have matched. What began as simple automation has now transformed into systems capable of conversation, emotional expression, and autonomous decision-making. AI chatbots are no longer limited to answering questions — they are advising users, offering emotional support, and influencing real-world choices. But as AI
AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk Read More »
Over the past year, artificial intelligence has evolved rapidly—from simple question-answering systems to AI agents capable of executing real business actions. But as enterprises begin deploying AI across operations, one truth is becoming increasingly clear: Generic AI may impress. Vertical-first AI delivers results. Across healthcare, banking, finance, retail, logistics, manufacturing, and other regulated industries, organizations
Vertical-First Agents: Why Industry-Specific AI Beats Generic Models Read More »
We see headlines about misbehaving chatbots, fictitious reports, and systemic fairness issues. Yet AI risks are neither unexpected nor unforeseeable. They stem from a combination of well-known but underestimated risks across ethics, data security and legal topics. These are not black swans, but grey swans. Recognizing this shift in perspective […] The post AI risk
AI risk is not a black swan – it’s a flock of grey swans Read More »
From Always-On Intelligence to Enterprise Control Just ahead of 2025, I had predicted that artificial intelligence would move decisively from experimentation to enterprise reality. That shift has now played out. Over the past year, AI has moved out of isolated pilots and into early production across core enterprise workflows. Agentic systems began executing multi-step tasks. Domain-specific intelligence started outperforming general models
Nearly 60% of Indian businesses confident about scaling artificial intelligence responsibly already have mature Responsible AI (RAI) frameworks, but persistent gaps around high-quality data, regulatory clarity and emerging AI risks threaten to slow safe adoption, according to a Nasscom report released on Wednesday. RAI frameworks guide the ethical, safe and accountable design, development and deployment
60% AI-ready Firms Mature on Responsible AI, Gaps Persist: Nasscom Report Read More »
