Background Founded in 2024, Whitehall & Associates has quickly become one of Australia’s leading personal injury law firms. Committed to building strong, long-term client relationships founded...
Given the recent spate of high-profile cyber attacks, it's a timely reminder for legal advisers to take stock of their clients’ cyber resilience, particularly when it comes to incident response...
Before investing in Legal AI for your firm, it's essential to do your research. Dive into "The Definitive Legal AI Buyer’s Guide" to equip you with the knowledge and insights necessary...
NDIS providers are facing unprecedented financial and regulatory challenges. Success will come to those who prioritise compliance, governance, and financial sustainability. LexisNexis ® Regulatory...
Is your organisation a public company that is listed or intends to be listed on the Australian Stock exchange (ASX)? Does your organisation know and understand the requirements and obligations imposed...
With new Artificial Intelligence (AI) models and applications being created every day, the opportunities presented by AI are vast. However, these new tools do not come without their challenges. The risks associated with quality control, biases, and privacy are important considerations and the topic of much debate.
Apprehension about embracing AI stems in part from our fear of blind spots. Perhaps for all our careful planning and risk analysis, something crucial could be overlooked, and the business finds itself in hot water.
How then, do we deploy AI tools in a way that improves workflow but does not increase risk?
Experts from the panel and roundtable discussions at the Governance Institute of Australia’s International Governance Leadership Conference suggest attention must be given to two key areas: oversight of AI decision-making and data governance.
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