Warnings that advanced AI could threaten humanity no longer sit only in research papers. In 2023, hundreds of AI scientists and technology leaders signed a one-sentence statement.
It called the risk of extinction from AI a global priority. The topic now comes up in headlines, in boardrooms and in government policy debates.
The debate is serious. Some of the people raising it built these systems. Their concerns deserve a proper hearing.
The Risks Already Inside Your Business
AI is already part of daily work. Teams use it to write, analyse, recruit, forecast and support customers. Often, nobody formally approved it.
Leaked Data
Staff paste contracts, customer records and source code into public AI tools. Connected plugins and third-party AI services can pass that data further than anyone intended. Once it leaves your business, you cannot get it back.
Fabricated Outputs and Biased Outcomes
AI can give confident answers that are wrong. If one of those answers shapes a pricing change, a legal response or a customer reply, a made-up answer becomes a business decision. In 2024, a Canadian tribunal held Air Canada liable for a refund policy its chatbot invented.
New Attack Surfaces
Attackers use AI to write better phishing emails and to find weaknesses faster. Every customer-facing AI system adds a new entry point. Prompt injection ranks first on OWASP’s list of risks for large language model applications. A hidden instruction in an email or web page can turn your own assistant against you.
Uncontrolled Agent Actions
Agentic AI does more than answer questions. It sends emails, changes records, books meetings and spends money. Without a human checkpoint, one bad instruction can repeat across hundreds of actions before anyone notices.
AI Governance Is an Operating Model, Not a Policy Document
Many organisations respond to these risks with a published policy. They write AI principles, agree with an ethics statement and post it on the intranet. Then nothing changes in practice.
A policy tells people what you believe. It does not stop a system that goes wrong at 2am.
Many organisations have AI principles. Few have named owners, defined decision rights or tested ways to intervene. Their AI governance lives in a PDF. It is not part of how work gets done.
Good AI governance pays for itself. An EY survey of 975 C-suite leaders across 21 countries looked at organisations with real-time AI monitoring and oversight committees. They were 34% more likely to report revenue growth and 65% more likely to report cost savings. Responsible AI does not slow business growth. It helps growth last.
Five Questions Every Organisation Should Answer
Test every AI system in your business against these five questions. Any question you cannot answer points to a gap.
1. Who Approves the AI System?
Name the person who signs off before launch. Set the criteria they use to decide, from data handling and security testing to expected accuracy.
2. What Decisions Can It Make?
Set clear boundaries. List what the system can decide on its own, and where a human must step in. Spending limits, customer commitments and changes to records are good places to start.
3. Who Monitors Its Behaviour?
Someone should track performance day to day. Agree the signals that trigger a review, such as rising error rates, complaints, unusual activity or shifts in outcomes.
4. Who Can Suspend It?
Suspending a system takes both authority and the technical means to do it. Name the person who can switch it off immediately. Test the process before you need it.
5. Who Is Accountable When It Fails?
Name one person. Not a committee. Not a vendor. When everyone shares accountability, nobody owns it.
Greater Autonomy Requires Stronger Accountability
AI might not end humanity. Poor AI governance can still end a business through a data leak, a biased decision or an agent acting without limits.
Every AI system needs named ownership, defined boundaries and human intervention. The more autonomy you give it, the more accountability you need.
Let’s talk. Test your organisation against these five questions. Then contact Maverick Partners to discuss how we can help close the gaps and keep your AI working for your business.
