Introduction
Developing a shared vocabulary, understanding and practice around AI Impact is crucial for robust conversations and decision‑making for companies to ensure their successful and responsible use of AI. Common AI Impact metrics across industry sectors can be a constellation we navigate by to drive innovation and guide policies towards responsible AI usage, where technology enhances societal, environmental, and economic wellbeing. Our big insight is that rather than getting the metrics perfectly ‘measurable’, getting metrics that create the right triggers for critical dialogue and action is the most fruitful aspect of our process. We have witnessed transformational conversations and the collaborative, critical, and creative thinking that appears when cross‑functional teams within a company come together for an honest self‑assessment of their AI impacts.
Leading for AI impact will encourage every stakeholder, be they customers, employees, investors, or suppliers, to trust a company’s AI practices. This trust is rooted in transparency and accountability, and it grows through a commitment to regularly report on AI’s influence and impact, adapt as AI evolves, and be led by the positive changes AI can bring. It’s about being open with how AI is applied, owning the consequences it has on stakeholders, and continually striving for enhanced outcomes. We hope companies adopt this Framework at whatever level of maturity they are at and expand the scope of their AI impact evaluation as their AI maturity grows.
Collaborative development of the AI Impact Navigator
The AI Impact Navigator framework has been co‑designed with industry thought leaders, ensuring its relevance and applicability across sectors. Unlike many AI governance frameworks that focus solely on policy, legal, and technical aspects, our approach has been unique in emphasising the external impacts of AI.
Engaging industry thought leaders
The Responsible AI Think Tank activated thought leaders from ASX companies, industry networks, and consumer and human rights institutions. This collaborative effort highlighted that AI impact is not just about managing risks. It's about recognising the value and opportunities AI systems can create. These opportunities extend beyond achieving company goals to generating beneficial societal outcomes.
A framework built for impact
By involving industry leaders in the development process, we ensured that the AI Impact Navigator framework is not only practical and actionable but also aligned with the real‑world needs and challenges faced by companies. This collaborative approach guarantees that the framework will drive meaningful conversations, informed decision‑making, and responsible AI usage across industries.