In a time where AI is rapidly becoming embedded in critical business functions, it’s easy to assume these systems will always make the “smart” choice. But what happens when they don’t?
In her latest blog post, The Default Guide to Artificial Misperformance, Samira dives into the overlooked realities of AI implementation failures, what she aptly refers to as artificial misperformance. Drawing from real-world analogies and enterprise scenarios, she explores how automation, when left unchecked or poorly configured, can lead to dangerous decision-making, misalignment with business intent, or even outright failure.
Samira challenges us to question the assumption that intelligent systems are always correct by default. The blog covers key risks such as:
- Over-reliance on default configurations
- Logic errors embedded in system design
- Failure to consider ethical and operational context
- How machine ‘efficiency’ can conflict with human outcomes
Whether you’re deploying AI in cybersecurity, identity management, or enterprise automation, this blog provides valuable insights into how things can go wrong, and how to avoid it.
🔗 Don’t miss it – read the full article here: Artificial Misperformance – Guarding Against Ethical Failure in Intelligent Systems