Notas del episodio
AI ethics, trust & safety explained — Savneet Singh (AI Ethicist) on building trustworthy AI systems, safety frameworks & responsible AI deployment. The AI Lyceum #21
'The machine is there to support you — not to replace your judgment. You are the one in control' — Savneet Singh
As AI becomes more human-like, trust becomes harder to define — and more critical to get right.
In this episode, Samraj speaks with Savneet Singh, who doesn't speak in her capacity as trust and safety lead at a top tech company, but as Visiting Lecturer at Emory University, about what it really means to trust AI systems that increasingly sound, remember, and respond like humans.
Savneet breaks down why trust in AI isn't about how human it feels — it's about predictability, transparency, and alignment with human values. They explore why AI must remain a co-pilot, not an autopilot, why labeling AI-generated content matters, and how misinformation spreads not through conspiracy, but through everyday digital behaviour.
The conversation tackles 'AI psychosis' emotional attachment to non-conscious systems, the ethics of AI companions, and why accountability must sit with developers, deployers, and users — not the machine. This is a conversation about responsibility, boundaries, and keeping humans firmly in control as AI becomes more powerful.
WHAT YOU'LL LEARN
→ What trust actually means in the context of AI
→ Why human-in-the-loop design is non-negotiable
→ The difference between misinformation and disinformation
→ Why AI companions risk emotional substitution
→ How "AI psychosis" emerges through prolonged interaction
→ Why labelling AI content builds trust
→ Where accountability must sit when AI goes wrong
EPISODE HIGHLIGHTS
0:00 ➤ Intro
1:50 ➤ What does "trust" really mean in AI?
4:41 ➤ Transparency, guardrails, and human-in-the-loop
7:22 ➤ Trust vs confidence
9:33 ➤ AI-generated journalism and fabricated facts
11:15 ➤ Misinformation, deception, and human responsibility
14:49 ➤ AI psychosis and emotional attachment
21:07 ➤ Losing clarity about the human–AI relationship
24:27 ➤ Supportive tools vs emotional substitution
28:49 ➤ Guardrails, free will, and ethics by design
30:20 ➤ "Digital littering" and everyday ethics
33:54 ➤ Why AI literacy matters for all ages
36:26 ➤ One practical guardrail every business should use
39:51 ➤ Trusting AI when you doubt your own judgment
42:26 ➤ Teaching children how to use AI responsibly
46:55 ➤ Why AI agents still feel risky
52:22 ➤ The accountability gap
54:00 ➤ Final message: humans must stay in control
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