Responsible AI

Auto Added by WPeMatico

AI Safety Under Fire: Why 42 U.S. States Say Chatbots Are Putting Users at Risk

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 »

Vertical-First Agents: Why Industry-Specific AI Beats Generic Models

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 »

AI risk is not a black swan – it’s a flock of grey swans

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 »

Building Resilient and Autonomous Enterprises 

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

Building Resilient and Autonomous Enterprises  Read More »

60% AI-ready Firms Mature on Responsible AI, Gaps Persist: Nasscom Report

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 »

Trust and talent: The foundation for responsible AI adoption

Every so often, new technology hits like an earthquake. It starts with faint rumblings, then suddenly creates an irreversible shift in the landscape. Social media was one of those moments. What began as an experiment quickly became a cultural engine, reshaping how we communicate, consume information and do business. Its […] The post Trust and

Trust and talent: The foundation for responsible AI adoption Read More »

How to Build Trustworthy and Compliant Agentic AI: The Future of Responsible AI Systems

The conversation around AI has shifted. It’s no longer just about what machines can say—it’s about what they can do, safely, reliably, and ethically. Enter Agentic AI: systems that don’t just respond to prompts, but take actions on your behalf. These agents can schedule meetings, reconcile accounting ledgers, coordinate with business systems, trigger workflows, and

How to Build Trustworthy and Compliant Agentic AI: The Future of Responsible AI Systems Read More »

Exploring a space-based, scalable AI infrastructure system design

Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in space. Artificial intelligence (AI) is a foundational technology that could reshape our world, driving new scientific discoveries and helping us tackle humanity’s greatest challenges. Now, we’re asking where

Exploring a space-based, scalable AI infrastructure system design Read More »

Differentially private machine learning at scale with JAX-Privacy

We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX. From personalized recommendations to scientific advances, AI models are helping to improve lives and transform industries. But the impact and accuracy of these AI models is often determined by the quality of data they use.

Differentially private machine learning at scale with JAX-Privacy Read More »

Separating natural forests from other tree cover with AI for deforestation-free supply chains

Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover. This critical baseline helps governments, companies, and communities meet deforestation-free goals and protect ecosystems. Forests are vital for our planet as they regulate rainfall, mitigate floods, store and sequester carbon, and help sustain the majority of the planet’s

Separating natural forests from other tree cover with AI for deforestation-free supply chains Read More »