The Role Of Regulatory Bodies In Safeguarding People From Artificial Intelligence
Posted: Wednesday, Apr 10

i 3 Table of Contents

The Role Of Regulatory Bodies In Safeguarding People From Artificial Intelligence

Australian industry leaders are navigating a complex regulatory environment that is increasingly focused on the integration of Artificial Intelligence (AI) within business operations. This focus is driven by a concern for consumer protection, particularly the safety and security of personally identifiable information (PII) and the potential for AI-driven systems to deviate from expected behaviours. According to the Australian Cyber Security Centre’s (ACSC) Australian Signals Directorate (ASD), some of the biggest challenges consumers and organisations face when engaging with AI include data poisoning of AI models, input manipulation attacks, generative AI hallucinations, privacy and intellectual property concerns, and model stealing attacks.1

These deviations range from minor inaccuracies to more severe misguidances, and underscore the importance of regulatory bodies in establishing frameworks that ensure AI technologies serve the public’s interest without compromising safety or privacy. However, while regulatory bodies play an essential role in protecting consumers and organisations alike from the risks of AI, business leaders must also do their due diligence and establish safeguards to protect their users and remain compliant.

The Process

The regulatory approach to AI in both Australia, and around the globe, tends to revolve around three main phases: education; awareness; and governance. The first two phases involve understanding what AI is and defining it, before helping to create awareness among broader populations. This is followed by the establishment of boundaries, best practices, and recommendations on how to best measure against these. Initially, the emphasis is on educating regulatory bodies and industries on the capabilities and limitations of AI technologies. This understanding is crucial for setting realistic expectations and developing regulations that encourage innovation while safeguarding against risks. As these technologies continue to permeate various sectors, the conversation shifts towards defining the guardrails necessary to prevent misuse and unintended consequences of AI applications.

One critical aspect of this regulatory focus is the concept of ‘explainability’. As AI systems become more integral to operations across industries, the ability to understand and articulate how these systems arrive at their conclusions or actions becomes imperative. This is not only a matter of transparency; it is also a foundational element of building trust between businesses, consumers, and regulatory authorities. Such explainability ensures that, when deviations occur, stakeholders can assess the root causes and implement corrective measures effectively.

The Possible Advantage of Using AI for Cybersecurity

For business leaders, the challenge lies in navigating this regulatory landscape while leveraging AI to achieve competitive advantage and operational efficiencies. The conversation around AI and job displacement illustrates the nuances in all perspectives that must be considered. While there is concern over the potential for AI to supplant human roles, the emphasis should instead be on how AI can augment human capabilities, streamline operations, and enhance productivity. This perspective aligns with the broader view that AI should be a tool for innovation and improvement rather than a replacement for human intellect and creativity.

In terms of return on investment (ROI), the focus for businesses has shifted from a speculative exploration of AI’s possibilities to a more pragmatic assessment of how these technologies can deliver tangible benefits. This includes evaluating cost savings and operational efficiencies, as well as considering the impact on customer experience (CX) and market competitiveness. For example, the use of generative AI in customer service and engagement can transform how businesses interact with their customers, offering personalised experiences that drive loyalty and sales.

Closing Thoughts

Business leaders must be proactive in their engagement with regulatory developments, ensuring their AI strategies are aligned with emerging standards and practices. While such an alignment is an unavoidable exercise in compliance, it’s also a strategic imperative that can differentiate a business in a crowded and competitive market. Companies can build stronger relationships with customers, regulatory bodies, and the wider community by demonstrating a clear commitment to ethical AI use.

The role of regulatory bodies in shaping the future of AI in Australia cannot be understated and, as businesses harness the potential of AI, they must navigate a regulatory environment that is evolving to protect consumers while fostering innovation. The key to success in this landscape is a balanced approach that prioritises transparency, safety, and ethical considerations alongside the pursuit of operational and competitive gains.



Taggart Matthiesen
Taggart is the Chief Product Officer of LogicMonitor, where he oversees all aspects of product strategy, including product management, user experience (UX) and data science. With more than 15 years of experience building successful enterprise and consumer SaaS product teams, he is passionate about solving customers’ problems by combining deep technical know-how with the empathy to fully understand and anticipate their needs. Taggart came to LogicMonitor from Lyft, where as Vice President of Product he helped build and lead Lyft’s autonomous driving initiatives. He also held product leadership positions across Lyft’s Pay Platform, Identity & Fraud, Service & Support, Mapping, and Lyft for Business. Prior to Lyft, Taggart served as a Group Product Manager at Twitter, where he created and led the company’s Data Product Group. Before joining Twitter, he was Senior Director of Product at Salesforce, leading teams across Salesforce’s developer and analytics platforms. Taggart holds a B.A. degree in History from Northwestern University and lives in the Bay Area with his wife and two sons.
Share This