Use AI to tame email and calendar overload — while keeping data secure and communications under human control.
AI Safety
When AI Listens Too Closely Part 6: A Safer Future — Policy and Design Roadmap for Human-Centered AI
The final part of When AI Listens Too Closely delivers a policy and design roadmap for building trustworthy AI. It introduces the Safe-AI Standard — a framework uniting transparency, oversight, and accountability to prevent harm before it happens.
Red Team Your Own Prompts: Finding Bias Before Attackers Do
Attackers test your defenses — you should test your prompts.
Learn how to red team your own AI interactions to uncover bias, leakage, and manipulation risks before they strike.
When AI Listens Too Closely Part 5: Building Failsafes — Crisis Detection and Intervention in LLMs
AI can recognize distress, but not all systems know what to do next. This post explores how engineers and ethicists are embedding failsafes into large language models to detect and respond to crises, bridging the gap between empathy and responsibility.
Your First AI Workflow: Automating Research Securely
Accelerate your research with an AI-powered, secure workflow: define your objective, automate thoughtfully, insert human review, and protect your data at every step.
Prompt Engineering for Professionals
Mastering prompt engineering means more than clever wording — it’s about crafting business-ready briefs for AI, with context, constraints, and safety built in.
When AI Listens Too Closely Part 4: The Legal Storm — Liability and Regulation After Adam Raine
As Raine v. OpenAI unfolds, lawmakers are racing to define responsibility in the age of generative AI. This post explores how courts, regulators, and companies are preparing for a new age of accountability — where words written by machines may soon carry the weight of the law.
The Power User Mindset: Turning AI into a Trusted Assistant
AI is more than a shortcut — it’s a partnership. Learn how to develop the Power User Mindset and turn AI into a trusted assistant while keeping your workflows secure.
When AI Listens Too Closely Part 3: Safety by Design or Design by Market?
In the race for chatbot engagement and market dominance, safety often takes a back seat. This post explores how product-design and market incentives can undermine user protection — and outlines a roadmap for truly safe AI deployment.
When AI Listens Too Closely Part 2: The Ethics of Empathy — When Chatbots Become Confidants
As chatbots evolve into confidants, adolescents are increasingly forming emotional bonds with machines—elevating technology from tool to substitute. This post explores the ethics of empathy in AI and why the social risks of human-like interaction demand urgent design safeguards.