The report discusses the rapid adoption and integration of artificial intelligence (AI) in the financial sector, driven by advancements in technology and increasing operational efficiency. Key risks include dependencies on third-party providers, market correlations, and cyber vulnerabilities. Generative AI's accessibility could amplify systemic risks, necessitating enhanced regulatory frameworks, vigilant monitoring, and robust governance to ensure financial stability amid evolving AI technologies.

The report outlines a pattern-oriented engineering approach for responsible AI in financial services. It identifies challenges in scaling responsible AI, introduces a Responsible AI Pattern Catalogue for addressing lifecycle risks, and provides case studies on chatbot development. The study underscores governance, process, and product strategies to operationalise responsible AI principles effectively.

Generative AI enables the rapid creation of synthetic content, offering both opportunities and risks. This report examines challenges like disinformation and fraud, outlines technical and regulatory strategies, and explores trade-offs with privacy. Techniques discussed include watermarking, provenance tracking, and legal frameworks, aiming to enhance transparency while safeguarding privacy.

The report outlines a vision of interconnected financial ecosystems powered by digital innovation. By leveraging technologies like tokenisation and unified ledgers, it aims to create a user-centric, inclusive financial system that lowers costs, improves access, and increases efficiency globally.

The report explores the transformative role of AI in the financial sector, focusing on financial intermediation, insurance, asset management, and payments. It highlights both opportunities and challenges, including implications for financial stability and the need for upgraded financial regulation to manage the risks associated with AI's growing influence.

Discusses the potential of digital financial services (DFS) to reduce poverty and promote economic growth. Analyses DFS role in financial inclusion within households and emerging markets and developing economies. Examines constraints of regulations and frameworks and provides case studies from countries that have enabled DFS in their economy.

This 14th biennial welfare report of the Australian Institute of Health and Welfare, presents an overview of the welfare data landscape and explores selected welfare topics - including intergenerational disadvantage, income support, future of work, disability services, elder abuse and child wellbeing - in eight original articles.