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The Ethics Behind AI in Healthcare

Aug 3
4 min read

Last week, AI in healthcare made headlines with growing discussion around the rapid adoption of AI scribes in Australian medical practices and the important questions they raise about privacy, consent and patient trust.


Coincidentally, one of our colleagues experienced this personally during a recent visit to a local GP clinic. A simple sign sat at reception explaining that the practice uses AI during consultations to assist with clinical documentation, and that patients could withdraw their consent at any time.



It was a simple interaction, but it represented something much bigger than technology. It demonstrated that the practice recognised AI wasn't simply another piece of software operating quietly in the background. It had become part of the patient experience, and patients deserved to know it was there, understand why it was being used and have a genuine choice about whether they wanted it involved in their consultation. That simple sign reinforced an important principle:

Responsible AI doesn't begin with sophisticated technology or clever algorithms. It begins with transparency, because transparency is what builds trust.

Healthcare has always been built on trust. Patients share deeply personal information because they trust clinicians and healthcare organisations to treat that information with care, confidentiality and respect. Introducing AI into that relationship doesn't diminish those responsibilities. If anything, it raises the standard.


AI should support clinicians, not replace them


There is little doubt that AI has an important role to play in healthcare. Clinicians continue to face increasing administrative demands, with documentation, referrals, compliance requirements and record keeping consuming valuable time that could otherwise be spent with patients.


Used well, AI scribes can help change that. By capturing conversations and producing draft clinical notes, they reduce administrative burden and create more opportunity for clinicians to focus on what patients value most: listening, asking questions and building relationships.


This is AI doing what it does best. Supporting professionals, streamlining repetitive tasks and improving efficiency, while leaving clinical expertise exactly where it belongs, with the clinician.


Importantly, that's how AI creates its greatest value in healthcare. Not by replacing human expertise, but by creating more space for it.


The ethical question isn't whether AI is used


The conversation is no longer about whether AI should be used in healthcare. That question has largely been answered. The more important question is how it should be used.


Every organisation implementing AI has a responsibility to ensure patients understand when AI forms part of their care, what information is being processed, why it is being collected, how it will be protected and whether they have the option to decline.


These conversations shouldn't be hidden inside lengthy privacy policies or buried within terms and conditions that few people read. They should be communicated clearly, respectfully and before the consultation begins. After all, consent is only meaningful when it is informed.


This is where transparency becomes much more than good communication. It becomes an ethical responsibility. Patients don't simply need confidence in the technology itself. They need confidence that the organisation introducing it has carefully considered its impact on privacy, confidentiality and the patient experience.


When healthcare organisations are open about how AI is being used, they do more than meet compliance obligations. They demonstrate respect for patient autonomy and reinforce the trust that has always been at the heart of quality care.


Human judgement remains the safeguard


One misconception surrounding AI is that it somehow reduces the need for professional judgement. In reality, the opposite is true.


Even the most sophisticated AI scribe is still just that: a tool designed to support documentation. It may mishear a conversation, misunderstand clinical context or overlook subtle but important details. While the output may be accurate much of the time, every clinical record ultimately remains the responsibility of the healthcare professional reviewing and approving it.


Technology can generate information remarkably quickly. It cannot accept responsibility for the consequences of that information. Accountability continues to sit with clinicians and, increasingly, with the organisations choosing to implement these technologies.

As AI becomes embedded across healthcare, governance also needs to evolve. Organisations need more than access to AI tools. They need clear ethical guardrails that support safe, consistent and transparent use.


That includes informed consent, robust privacy and cybersecurity protections, appropriate human oversight and ongoing education so clinicians understand not only what AI can do, but where its limitations begin. These safeguards shouldn't be viewed as barriers to innovation. They are what allow innovation to be introduced responsibly and, importantly, sustain the trust that healthcare depends upon.


Innovation is only sustainable when people trust it


AI has enormous potential to improve healthcare. Reducing administrative burden, improving efficiency and giving clinicians more time with patients are outcomes worth pursuing, and they represent some of the most valuable applications of AI today.


But healthcare has always been different from many other industries because trust sits at the centre of every interaction. Patients don't place their confidence in technology. They place it in the clinicians caring for them and the organisations responsible for protecting that care.


As AI becomes a more familiar part of healthcare, that trust should remain the benchmark against which every implementation is measured. Every decision about how AI is introduced, communicated and governed either strengthens that trust or weakens it.


Innovation may transform the way healthcare is delivered, but trust will always determine how that care is experienced. Responsible AI isn't simply about what technology can do. It's about ensuring every advancement strengthens the confidence patients place in the people and organisations responsible for their care.


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