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Pre-implementation Audits
Multidimensional audits on AI algorithms covering data privacy, fairness, transparency and clinical efficacy, performed by independent developers and clinicians.
Healthcare · AI Governance
Australian Board for Ethical AI in Healthcare
An independent consortium offering ethical audit, certification and advisory for AI deployment in healthcare, designed to give government agencies a credible review framework.
The organisation
A checkpoint for government agencies deploying AI in healthcare.
ABEAiH is a multidisciplinary consortium of experts in healthcare, AI technology, ethics and law. The board comprises leading professionals committed to ensuring that AI deployment in healthcare adheres to the highest ethical standards.
Independent status lends credibility for unbiased assessment, positioning ABEAiH as an authoritative body in a specialised field where decisions made by AI algorithms can have life-altering consequences for patients and providers.
Impartiality & confidentiality
How the model protects everyone in it.
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Independent experts conduct evaluations
All technical evaluations are carried out by independent software developers, legal experts and other domain professionals, not by board members.
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Board members do not access sensitive material
Board members work strictly from audit reports prepared by independent experts. No direct access to proprietary algorithms or sensitive data.
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Governance without conflict
The board oversees the review process in advisory capacity only. SOPs prevent any undue influence over the independent auditors.
What we offer
Six core services.
Designed to facilitate the ethical and effective implementation of AI in healthcare, drawing on board expertise in data science, clinical research and legal compliance.
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Advisory Services
Expert consultancy for government agencies on ethical considerations, safety and efficacy, client-centred and grounded in clinical and legal expertise.
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Certification
After passing audit, AI tools are issued a certificate of ethical compliance and readiness, useful for government procurement.
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Continuous Monitoring
Post-implementation audits ensure AI tools continue to adhere to ethical and practical standards as they operate in the field.
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Policy Development
Codes of Practice and policy recommendations that serve as guidelines for ethical AI deployment in healthcare.
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Panel Review
Constructive dialogue and scrutiny facilitated by representatives from tech, healthcare and legal sectors.
ABEAiH programs
Ten programs across training, policy, equity and review.
EAI-CP
Ethical AI Certification Program
Training for AI developers and healthcare professionals on the principles of ethical AI and clinical efficacy.
AIRAP
AI Risk Assessment Program
Data-driven initiative using statistical models to identify and categorise potential risks.
API-Lab
AI Policy Innovation Lab
Board members collaborate with policy-makers to formulate actionable policy guidelines.
ATI
AI Transparency Initiative
Standards for AI interpretability, crucial for healthcare providers to make informed decisions.
AIHEP
AI Health Equity Program
Ensures AI tools do not reinforce healthcare disparities across populations.
AAIHS
Annual AI in Healthcare Summit
Stakeholder discussions on the ethical dimensions and practical implementations of AI in healthcare.
AILCP
AI Legal Compliance Program
Ensures AI technologies are in compliance with existing laws and regulations.
APIRP
AI Post-Implementation Review
Assesses the real-world impact of AI tools using advanced analytics and metrics.
IPP
Industry Partnership Program
Facilitates exchange of technical and ethical expertise between ABEAiH and the broader tech industry.
PAEP
Public Awareness & Education
Initiatives to raise public awareness about AI implications in healthcare across media channels.
The auditing framework
Five phases. Three-tier process.
Pre-assessment, detailed auditing and board review, each separated by structural confidentiality to prevent influence at any stage.
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Preliminary Screening
Application review and scope definition. Verify legitimacy of the company and technology.
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Pre-assessment
Code and data inventory. Legal review against HIPAA, GDPR and relevant healthcare regulations. Initial security testing.
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In-depth Auditing
Algorithmic fairness assessment, data privacy compliance, transparency and explainability, clinical efficacy evaluation, comprehensive audit report.
04
Board Review
Board members review the audit report and provide advisory comments. Vendors may be invited to panel discussion for clarification.
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Certification & Follow-up
Certificate of ethical compliance issued. Future assessments scheduled to ensure ongoing compliance with evolving standards.
Legal framework
Built on national and international standards.
ABEAiH operates under a stringent legal framework incorporating the Data Protection Act, HIPAA, GDPR and other relevant regulations to govern the ethical use of AI in healthcare.
The framework addresses intellectual property rights, data privacy, clinical accountability and compliance, vetted by senior legal experts and used as the operating guide for all audit and advisory services.
Project