Library | ESG issues
Customer Privacy
Customer privacy refers to the responsible handling, protection, and ethical use of personal information collected during transactions. Companies must comply with privacy laws and adopt transparent data collection, secure storage, and usage practices to maintain trust and mitigate regulatory and reputational risks. Effective customer privacy management enhances corporate accountability, trust and cybersecurity resilience.
Refine
21 results
REFINE
SHOW: 16
Synthetic content: Exploring the risks, technical approaches, and regulatory responses
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.
Finternet: the financial system for the future
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.
Intelligent financial system: How AI is transforming finance
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.
Digital financial services
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.
Australia's welfare 2019: Data insights
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.
