AI Consciousness: What Awareness - Real or Percieved - Means for Enterprises

AI & Consciousness: Where Technology Meets Philosophy

When intelligence begins to resemble awareness, the question shifts from what AI can do, to what it should understand.

Artificial consciousness is moving from theory to enterprise relevance. Once confined to the domains of neuroscience and philosophy, it is now informing how leaders think about governance, trust, and accountability in intelligent systems. As AI capabilities mature, enterprises are being asked not only to operationalise technology but to interpret the ethical implications of systems that appear to reason, adapt, and even reflect.

In this episode of Behind the Algorithm, Nigel O’Neill explores what consciousness in AI might mean for the future of responsible innovation. The discussion draws on perspectives from technology, philosophy, and business strategy to examine how ideas of awareness and intent could influence the design and deployment of enterprise-grade AI. The conversation also considers how perceptions of consciousness — real or simulated — shape the way people interact with technology and, ultimately, how organisations build trust around it.

For business leaders, this isn’t an abstract thought experiment. The emergence of seemingly conscious AI brings direct implications for AI governance, risk management, and data ethics. Understanding where human judgment ends and machine autonomy begins will be central to how enterprises manage accountability, transparency, and decision-making in the decade ahead.

At Tarralugo, we view this as part of a broader shift: from deploying AI as a functional enabler to integrating it as a strategic capability — one that demands ethical foresight as much as technical precision.

Watch the full episode of Behind the Algorithm: AI & Consciousness to explore how awareness, governance, and trust are converging — and what it means for enterprise strategy in an age of intelligent systems.

Click here to watch on YouTube or here to listen via Spotify.