Responsible AI

Responsible AI is the practice of designing, developing and deploying artificial intelligence systems that prioritise human values, ethics and social benefit - ensuring technology serves people and communities, not the other way around.

Our experience covers:

A developed AI ethics frameworks
Algorithmic impact assessment
Bias detection and mitigation
Human-centred AI design
AI governance and policy

University of Technology Sydney

Enabling conversations about the ethics of facial recognition technology

We worked with the UTS Centre for Social Justice & Inclusion on an application that the public can interact with to learn about the use and misuse of facial recognition. As the Centre develops a model law on facial recognition, the tool is an innovative way of exploring with the community which additional legal protections we need.

An image of a person accessing the subway network at a turnstile with facial recognition.

Human dignity at the heart of AI systems

At Paper Giant, we believe AI should amplify human capability, not replace human judgement. We want to ensure AI systems are transparent, accountable, and designed with the communities they serve.

For us, responsible AI means:

Technology that respects human autonomy - maintaining meaningful human control and decision-making power in critical systems
Systems that promote fairness - actively identifying and mitigating bias to ensure equitable outcomes for all communities
Design that prevents harm - anticipating unintended consequences before they impact real people and vulnerable groups
Transparency by default - making AI decisions explainable and understandable to the people affected by them
Genuine community benefit - moving beyond compliance to create AI that actively contributes to social good

By combining human-centred design with technical expertise and ethical frameworks, we help organisations navigate the complex landscape of AI implementation - understanding not just what AI can do, but what it should do.