# 57 Responsible AI: What It Is and Why It Matters

// AI systems are getting more powerful and opaque. You're accountable for their outputs, but how do you trust what you can't see inside?

#56 AI - Show Your Working?

// Black-box AI outputs slow verification and erode trust because you can't trace their reasoning. The solution is AI Transparency.

#55 What is Agentic AI anyway?

// A practical and pragmatic approach is needed to get started.

#54 AI Safety 101

// To work safely, technical professionals need to build a level of awareness of increasingly complex AI systems.

#53 An operating envelope for AI?

// The challenge isn't learning new safety principles - it's applying and extending existing safety methods to AI systems.

#52🥳 Are You Building Intelligence or Borrowing It?

// Treating AI as an amplifier, not a replacement.

#51 ON vs. IN practice

// Practice systems must compound expertise, not just maintain it.

#50 Drifting towards risk

// Systemic risks - need systems thinking in response.

#49 Chauffeur or Planck knowledge?

// Technical professionals need to maintain competence over systems they can't fully understand.