AI Ethics in Digital Asset Management: A Guide to Safe AI Use

September 11, 2024 Ricky Patten

Ethics in AI

 

Artificial Intelligence (AI) is transforming the way organisations manage their digital assets, making it easier to find, secure, and utilise content. As AI capabilities become more integrated into everyday business operations, particularly in digital asset management (DAM) solutions like Canto, there’s a growing need for responsible and ethical AI use. This blog explores Australia’s AI Ethics Principles, developed by the Department of Industry, Science, and Resources, and how these principles can be applied within the context of AI in DAM, specifically focusing on Canto’s AI features.

 

CONTENTS

Australia’s AI Ethics Principles: An Overview 

1. Human, Societal, and Environmental Wellbeing

2. Human-Centred Values

3. Fairness

4. Privacy Protection and Security

5. Reliability and Safety

6. Transparency and Explainability

7. Contestability

8. Accountability

Implementing AI Ethics in Your Organisation with Canto 

 

Australia’s AI Ethics Principles: An Overview 

The Australian Government has established eight AI Ethics Principles designed to guide the safe, secure, and reliable use of AI technologies. These principles aim to ensure AI systems are developed and deployed in ways that align with human, societal, and environmental values. Drawing parallels with the existing Essential Eight strategy for cybersecurity, the AI Ethics Principles provide a structured approach that organisations can adopt to maximise the benefits of AI while minimising risks. 

The eight principles are:

1. Human, Societal, and Environmental Wellbeing 
2. Human-Centred Values
3. Fairness
4. Privacy Protection and Security
5. Reliability and Safety
6. Transparency and Explainability
7. Contestability
8. Accountability

Let’s dive into how these principles can be interpreted and implemented within the context of Canto’s AI capabilities in digital asset management.

1. Human, Societal and Environmental Wellbeing

Canto’s AI features, such as AI Visual Search and AI Facial Recognition, are designed to enhance user experience by helping users find the right content quickly and accurately. The principle of promoting human, societal, and environmental wellbeing is embedded in Canto’s core functionality: “Can’t find it, can’t use it!” AI reduces stress by simplifying the search process, increasing productivity, and ensuring the right assets are accessible when needed. 

facial recognition

By making digital content more manageable and discoverable, Canto’s AI contributes positively to overall organisational wellbeing. It enhances the ability of teams to collaborate, reduces the time spent searching for assets, and ensures that valuable content is used effectively, ultimately supporting human-centred work environments.

2. Human-Centred Values

Canto’s AI is built with a user-first approach, ensuring that the use of AI is always optional. This aligns with the principle of human-centred values, as users retain the freedom to choose whether or not to engage with AI features. AI is a tool, not a mandate. It empowers users to enhance their workflows without enforcing a particular approach. This freedom of choice respects individual user preferences and organisational policies, supporting a diverse range of working styles.

3. Fairness

The fairness principle is central to Canto’s AI design, which ensures that all users, regardless of their technical expertise, can easily find content using plain language search terms. AI Visual Search, for example, allows users to search for images based on visual elements rather than relying solely on metadata. This democratises access to content, removing barriers that could otherwise prevent equitable usage of digital assets. 

AI Visual search short

Canto AI eliminates the need for specialised knowledge in search query syntax, levelling the playing field and allowing anyone within the organisation to locate the content they need quickly and efficiently.

4. Privacy Protection and Security

Privacy protection is a critical concern in AI ethics, especially when dealing with sensitive or personally identifiable information. Canto’s AI capabilities are built on top of a robust digital asset management platform that adheres to stringent privacy and security protocols. 

protection and security

Canto ensures data protection through advanced access controls and encryption, maintaining the confidentiality and security of user data. The AI features do not compromise these security measures; instead, they work within the existing framework to enhance functionality without sacrificing privacy. For further details, our recent blog on privacy and consent in DAM solutions delves into these aspects, highlighting the importance of safeguarding user information at every stage.

5. Reliability and Safety

Reliability is a key component of Canto’s AI capabilities. AI Visual Search and other features are designed to produce consistent and reproducible results, enhancing the reliability of the search experience. Users can trust that the AI will help them locate assets accurately, reducing errors and ensuring that the most relevant content is always at their fingertips. 

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The Canto platform itself is a safe environment for managing digital assets, providing a secure and reliable foundation for the use of AI technologies. By focusing on safety and reliability, Canto AI supports organisations in maintaining high standards of operational integrity.

6. Transparency and Explainability

Transparency in AI means that users are fully aware when they are interacting with AI systems, and Canto excels in this regard. When users engage with Canto’s AI features, such as the AI Visual Search, it is visibly indicated in the interface. This clear demarcation ensures that users are not unknowingly relying on AI, fostering an environment of trust and clarity. 

Ai disabled

Canto has designed its AI features to be understandable, avoiding complex or opaque processes. Users are informed about how the AI functions, making it easier for them to leverage the technology confidently and responsibly.

7. Contestability

Contestability is about ensuring that AI decisions can be challenged and reviewed. While Canto’s AI does not make decisions in the traditional sense—such as altering content or generating new data—it still prioritises user control. AI in Canto is a supportive tool, guiding users in their search rather than dictating outcomes. 

Because Canto AI’s role is purely assistive, users can easily opt out of using AI features at any time, allowing them to contest and choose their preferred methods of content discovery. This respect for user autonomy aligns with the broader AI ethics principle of ensuring that AI remains a supportive, non-intrusive presence in digital asset management.

8. Accountability

Accountability within AI systems is crucial, ensuring that there are identifiable individuals responsible for AI usage and outcomes. Canto’s AI implementation is overseen by existing Canto Administrators, who continue to manage content and user access. The integration of AI does not shift accountability but rather supports the established governance structures within an organisation. 

Administrators retain full control over how AI is used within the platform, maintaining accountability for all content and its management. This reinforces the ethical standards set forth by Canto, ensuring that AI use remains aligned with organisational goals and values. 

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Implementing AI Ethics in Your Organisation with Canto 

To successfully implement these AI Ethics Principles within your organisation, it’s important to develop clear guidelines that align with both the national framework and your specific operational needs. Here are some steps you can take: 

1. Develop AI Usage Policies: Establish internal policies that outline how AI should be used within your DAM system, ensuring they align with the AI Ethics Principles.
  
2. Educate Users:  Provide training to ensure that all users understand how Canto’s AI features work and the ethical considerations involved in their use.

3. Monitor and Evaluate: Regularly review the impact of AI on your operations, collecting feedback from users to ensure that the system remains fair, transparent, and aligned with your organisational values.

4. Engage Stakeholders:  Involve diverse stakeholders in discussions about AI use, including legal, IT, and end-users, to ensure comprehensive input into how AI is deployed.

5. Stay Informed: Keep up to date with the latest AI developments and updates to Australia’s AI Ethics Principles to ensure your practices remain current and compliant.

Conclusion 

The integration of AI into digital asset management is not just about enhancing functionality but also about doing so responsibly and ethically. By aligning Canto’s AI capabilities with Australia’s AI Ethics Principles, organisations can leverage the power of AI while upholding the highest standards of accountability, transparency, and user empowerment. 

At databasics, we are committed to helping Australian organisations implement AI in their workplace with confidence. By understanding and applying these ethical principles, you can ensure that your AI usage not only supports operational efficiency but also aligns with broader societal values. 

For more insights on AI in digital asset management or to download a PDF version of this guide, please contact our marketing and lead generation team at databasics. Together, let’s build a future where AI enhances our work without compromising our values.

Useful Resources:

National framework for the assurance of AI in government

How Can Councils Adopt Artificial Intelligence

 

Disclaimer:

This content may have been created with the assistance of AI technology for accuracy and efficiency.

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