Former Chief Justice Tun Zaki Azmi has drawn a clear distinction between artificial intelligence as an administrative aid and its potential misuse as a substitute for judicial reasoning, warning that the future of law depends on preserving human accountability at its core. Speaking at the Wisdom Malaysia 2026 Conference in Kuala Lumpur on August 5, Tun Zaki, who now chairs Pertama Digital Berhad, stressed that while AI systems excel at processing information and offering preliminary insights, the final arbiter in any legal matter must remain a qualified human being bound by professional ethics and accumulated wisdom. This position carries particular significance for Malaysia's legal establishment as courts worldwide grapple with integrating emerging technologies without undermining the foundational principles of jurisprudence.
The former Chief Justice grounded his argument in a fundamental technological limitation: AI systems remain vulnerable to what researchers term "hallucinations"—instances where algorithms generate plausible-sounding but factually incorrect or legally irrelevant information. Judges cannot permit themselves to become passive recipients of AI-generated analysis, Tun Zaki emphasized, as the responsibility for interpreting statutes, constitutional provisions, and case law ultimately rests with the bench. His experience as former Chief Justice of the Dubai International Financial Centre (DIFC) Courts, a sophisticated financial jurisdiction that pioneered digital legal innovation, informed this cautionary stance. Even within that technologically advanced environment, courts recognized the necessity of human oversight as the indispensable safeguard against algorithmic errors that might otherwise pass undetected through the judicial system.
Recognizing the practical reality that technology will increasingly permeate legal practice, the DIFC Courts established a mandatory disclosure protocol requiring lawyers to explicitly inform the court whenever artificial intelligence has been deployed in legal research, memoranda preparation, or document drafting. This transparency mechanism serves multiple purposes: it alerts judges to scrutinize relevant portions of submissions with heightened vigilance, it creates an auditable record of technological involvement in case proceedings, and it establishes professional accountability should AI-assisted work prove deficient. For Malaysian courts considering similar frameworks, such measures would represent a pragmatic middle path between technological advancement and judicial integrity, ensuring that adoption of AI tools does not inadvertently compromise the quality of legal reasoning or the legitimacy of judicial decisions.
Tun Zaki articulated a deeper philosophical argument rooted in appellate court structure itself. The deliberate composition of appellate benches comprising odd numbers of judges—typically three, five, seven, or nine—reflects the understanding that reasonable jurists may interpret identical evidence differently and apply legal principles with varying emphasis depending on their professional experience and judicial philosophy. This institutionalized disagreement among capable minds serves as democracy's safeguard against judicial tyranny and ensures that decisions emerge from rigorous debate rather than unchecked individual discretion. Artificial intelligence, by contrast, operates according to programmed parameters and training data; it cannot engage in the kind of principled disagreement that characterizes legitimate appellate reasoning. By privileging the majority view among multiple judges, the system acknowledges that wisdom emerges through dialogue, not from algorithmic determinism.
The conference itself, organized by KerjayaOne PLT and themed "Learning from the Past, Looking to the Future," conveyed a deliberate philosophical agenda with implications extending beyond the judiciary. Datuk Seri Abdul Mutalib Razak, the organizing chairman, framed the gathering as an intergenerational knowledge-transfer initiative addressing Malaysia's institutional leadership pipeline. He articulated the conviction that wisdom cannot be algorithmically compressed or transmitted as data; rather, it accrues through sustained engagement with complexity, navigation of crises, and integration of both triumphant successes and instructive failures into one's decision-making framework. This perspective implicitly challenges the technocratic assumption that problems yield primarily to technical solutions, suggesting instead that governance effectiveness depends upon experiential depth and reflective judgment—qualities that resist quantification and automation.
The conference brought together a cross-section of Malaysia's institutional leadership, including Tan Sri Che Khalib Mohamad Noh, former president of Tenaga Nasional Berhad, and Tan Sri Abdul Wahid Omar, chairman of both Cypark Resources Berhad and IOI Corporation Berhad. Such participation underscored that concerns about preserving human judgment and institutional wisdom extend well beyond the judiciary into corporate governance, infrastructure management, and strategic policy formation. As these sectors increasingly experiment with AI-assisted decision-making systems, the cautionary framework articulated by Tun Zaki provides intellectual ballast for maintaining meaningful human engagement with consequential choices. The energy sector, in particular, where operational decisions carry safety implications and capital implications affecting millions, stands to benefit from principled resistance to over-automation.
For Malaysian policymakers and institutional leaders, Tun Zaki's intervention arrives at a critical juncture as government agencies and courts simultaneously explore AI deployment without yet establishing coherent governance frameworks. The absence of Malaysian case law or regulatory guidance on AI transparency in legal proceedings creates vulnerability to inconsistent practices and potential disputes over the legitimacy of decisions influenced by undisclosed algorithmic analysis. Establishing disclosure obligations similar to those pioneered in Dubai would position Malaysian courts as responsible adopters of technology while maintaining fidelity to core principles of due process and judicial accountability. Such measures would also provide reassurance to the legal profession and public that technological change serves the interests of justice rather than substituting efficiency for fairness.
The practical implications of Tun Zaki's position extend to legal education and professional development. If judges must genuinely understand and critically evaluate information rather than deferentially accepting algorithmic outputs, then the legal profession requires strengthened training in both technological literacy and traditional legal reasoning. Law schools cannot treat AI competency as a mere supplementary skill; rather, they must integrate critical assessment of algorithmic capabilities and limitations into core jurisprudential instruction. Simultaneously, practicing lawyers must develop facility with AI tools sufficient to recognize their utility while maintaining the skeptical stance necessary to catch errors and limitations that machines will inevitably generate.
The broader institutional challenge highlighted by Tun Zaki involves preserving the deliberative quality of governance across multiple sectors. As artificial intelligence permeates decision-making in healthcare, criminal justice, financial services, and education, societies face recurring pressure to delegate judgment to algorithms in pursuit of consistency and efficiency. Malaysia, as a developing economy simultaneously building institutional capacity and adopting advanced technologies, has particular reason to heed warnings against premature technological dependence. The most successful modernizing societies maintain rather than discard the human wisdom accumulated through institutional experience, using technology to amplify human capacity rather than to replace human responsibility.
Moving forward, Malaysian institutions—judicial, corporate, and governmental—would benefit from adopting Tun Zaki's framework as a foundational principle for technology governance. This approach neither rejects artificial intelligence nor romanticizes human judgment; instead, it insists that machines serve transparently disclosed roles in information processing and preliminary analysis while human decision-makers retain ultimate responsibility for consequential choices. The test of institutional maturity lies not in how quickly an organization deploys cutting-edge technology, but in how thoughtfully it integrates innovation while preserving the conditions under which human judgment can flourish. Tun Zaki's intervention, grounded in decades of judicial experience and informed by exposure to international best practices, offers Malaysian leadership a sophisticated roadmap for navigating this essential tension.
