Haast adopts Australia’s AI Ethics voluntary code

We’re really proud to have adopted Australia’s AI Ethics voluntary code across all our platforms. By adopting the code, we are committing to uphold the highest standards of transparency, fairness and accountability in all our AI-driven platforms. 

Understanding the Australian AI Ethics Voluntary Code

The Australian AI Ethics voluntary code is a set of principles designed to guide organisations in the ethical development and deployment of AI systems. The code encompasses eight core principles:

• Human, societal and environmental wellbeing: AI systems should benefit individuals, society and the environment.
• Human-centred values: AI systems should respect human rights, diversity, and the autonomy of individuals.
• Fairness: AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities or groups.
• Privacy protection and security: AI systems should respect and uphold privacy rights and data protection, and ensure the security of data.
• Reliability and safety: AI systems should reliably operate in accordance with their intended purpose.
• Transparency and explainability: There should be transparency and responsible disclosure so people can understand when they are being significantly impacted by AI, and can find out when an AI system is engaging with them.
• Contestability: When an AI system significantly impacts a person, community, group or environment, there should be a timely process to allow people to challenge the use or outcomes of the AI system.
• Accountability: People responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.

Why Haast is Adopting the Code

These principles align closely with Haast’s mission to create the world's leading marketing compliance platform, empowering organisations to achieve higher quality compliance outcomes without painful, human-driven reviews - letting you focus on your business, not your compliance checklist. 

As AI becomes an integral part of our operations, adhering to ethical guidelines is essential to maintaining trust with our clients, stakeholders, and the broader community. In particular, we are focusing on:

1. Enhancing Trust through Transparency and Explainability

We have designed Haast from the ground up to support transparency and explainability in all AI decisions. This means showing exactly why a decision on whether content may pose a risk is made, highlighting the exact parts of the document driving the decision. 

Each AI feature we build focuses on maintaining explainability and transparency in the process, avoiding a black box process.

2. Ensuring Contestability

One of the fundamental principles of ethical AI is the ability for individuals to contest decisions made by AI systems. At Haast, we understand that while AI can significantly enhance marketing compliance, it is not infallible. In line with the Australian AI Ethics voluntary code, we ensure that our AI systems are designed to be contestable. This means that if users believe an AI decision to be incorrect, they have the ability to provide feedback to the system. This not only means that we can ensure each decision around risk ratings is correct, but over time it also enables us to fine tune our approach to your unique risk profile, based on such feedback.

3. Prioritising Privacy and Security

Data privacy and security are at the forefront of Haast’s development process. With data breaches and privacy concerns rampant, we recognise the critical importance of protecting sensitive information. By aligning with the Australian AI Ethics voluntary code, we reaffirm our commitment to maintaining robust data protection measures. Our AI systems are designed with privacy in mind, ensuring that data is encrypted, and handled with the utmost care. We adhere to strict data governance protocols to prevent unauthorised access and ensure that our clients’ data is secure. By prioritising privacy and security, we not only comply with legal standards but also build lasting trust with our clients and their customers.

We are also ISO:27001 certified.

4. Promoting Reliability and Safety

The reliability and safety of our AI systems are paramount at Haast. As we leverage AI to automate marketing compliance, it is crucial that our systems perform consistently and accurately. The Australian AI Ethics voluntary code emphasises the need for reliable and safe AI applications, and we fully embrace this principle. We implement rigorous testing and validation processes to ensure our AI tools operate as intended, minimising the risk of errors or unintended consequences. Additionally, we continuously monitor our systems for any anomalies or issues that may arise, allowing us to address them swiftly. By promoting reliability and safety, we ensure that our clients can depend on our AI solutions to meet their compliance needs effectively.

5. Building in Accountability

Accountability is built into Haast’s entire philosophy, with human review and approval enabled throughout the platform. We ensure that there is a complete and clear audit trail around each step of our AI-enabled marketing compliance review, with humans provided the opportunity to review each step, provide additional feedback, and ultimately hold accountability for approvals.

Adopting the Australian AI Ethics voluntary code is a significant step forward in Haast’s journey towards responsible AI innovation. By embedding these ethical principles into our operations, we are not only enhancing the integrity and trustworthiness of our AI systems but also contributing to the broader goal of ensuring that AI serves the greater good. At Haast, we are committed to leading by example and fostering a future where AI technologies are used ethically and responsibly for the benefit of all.

For more information about our commitment to ethical AI and how we are implementing the Australian AI Ethics voluntary code, please contact us.