AI Misconceptions
Despite rapid advancements, AI remains widely misunderstood. Public narratives often swing between hype and fear, leading to confusion about what AI can, and cannot, do. This section explores common misconceptions that surround artificial intelligence, from inflated expectations to misplaced concerns.
At 6 Sided Dice, we cut through the noise with clarity, offering grounded insight based on real-world experience and government-aligned best practice. By understanding the limits and realities of AI, organisations can make smarter decisions, deploy with confidence, and avoid unnecessary risk.
Common AI Misconceptions & Clarifications
"AI understands like a human"
Not quite.
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AI does not understand in any human sense. It generates outputs (or responses) based on patterns in data, without emotion, context, or true comprehension. It predicts what is likely, not what is right.
"AI is objective and unbiased"
Only as objective as the data it's trained on.
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AI systems can perpetuate and even amplify existing biases in training data. Without intentional checks, it can make unfair or discriminatory decisions, even when it is seemingly behaving neutral.
"AI can make fully autonomous decisions"
It should not, especially in high-stakes contexts.
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While AI can support decisions, it should not replace qualified human judgement, particularly where safety, rights, or fairness are involved. Human oversight is essential.
"AI is always accurate"
Plausibility is NOT accuracy.
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Generative AI models often produce convincing but incorrect responses. They prioritise coherence over factual truth, and they do not verify what they generate.
"We need to use AI everywhere to stay competitive"
Use it ONLY where it strategically fits.
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Not all problems are AI problems. The best implementations are thoughtful, proportional, and focused on real organisational needs, not novelty or pressure.
"AI will replace me or my team"
NO, but people and teams who use AI WILL.
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AI can automate repetitive tasks, freeing up time for strategic, creative or interpersonal work. The future is about humans and AI working together, not one replacing the other.
"Public AI tools are safe to use for sensitive data"
NO, they are NOT.
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Many generative AI tools process data externally and may store prompts. Unless you are using enterprise-grade AI in controlled environments, sensitive or private data should and must stay out of these platforms/systems.
"If it works technically, it must be legally fine"
NO!
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Technical performance does NOT equal legal compliance. AI systems must meet a wide range of regulatory obligations, including data protection, intellectual property, equality law, and sector-specific standards. These requirements are often complex and context-dependent.
So, why does this all matter....
It matters who you work with​​
Successful AI transformation is not just about deploying the latest tools, it is about doing so with clarity, rigour and accountability. The right transformation partner not only delivers technical capability; they embed legal, ethical and compliance standards into every stage of the process.​
At 6 Sided Dice, we work side-by-side with clients to ensure their AI initiatives are not only innovative, but also lawful, responsible and resilient by design. That means aligning with regulation, anticipating risk, and delivering outcomes you can trust.