Enterprise risk · Governance · AI-enabled systems
Ankkit K Grover
Clarity for the consequential. Where risk, governance and technology meet: clear thinking, deliberate decisions, and systems that can stand up to complexity.
Working philosophy
Clarity before complexity.
Structure before scale.
Systems before symptoms.
…but only if someone can still say no. — A.K.G.
From the blog
Recent articles
The Transparency Trap: Saying “AI Helped” Can Cost Trust, and a Proposed Fix
In experiments by Schilke and Reimann, people trusted a person or organization less after it disclosed AI use, and less still when…
In a Scripted Chatbot Study, a Human Agent’s Apology and Correction Helped, but Only Partly
A new Frontiers in Psychology experiment with a scripted shop chatbot found a pre-written human apology with corrections eased frustration and lifted…
Same Technology, Two Yardsticks: What 6,000 App Reviews Show About How We Judge AI
A new Scientific Reports study of 6,000 Google Play reviews found that people wrote about a companion AI and a task AI…
The Accomplice Never Sleeps: AI Agents and the Low-Skill Intruder
Four October 2026 security reports describe humans choosing targets while AI agents did the intrusion work, and a fake red team slip…
Fundamental Rights Impact Assessment: Whose Harm Does Your AI Review Describe?
Some deployers of high-risk AI must describe, before first use, who the system affects and what harm they could face. What EU…
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