Page 60 - CMA Journal (Jul-Aug 2026)

A r t ic les S ec t ion

Maintaining this balance between technological o cer. Continuous learning is also a vital component Strategic Priorities for Ethical AI-Driven performance but will rely on human capabilities,
Ethical AI-Driven Procurement: Building Human Capital for e ciency and human responsibility is essential for in an organization. Organizing learning capabilities Procurement leadership and governance. These elements can help
and
ensures all sta are equipped to respond to evolving
build e ective, open, accountable and trusted
transparency
building
institutional
trust,
Transparency and Accountability in the Digital Economy accountability. Organizations that invest in workforce legal, technological and stakeholder needs. To The ability of an organization to integrate the procurement processes that are in place and
technology with competent human resource, ethical
capabilities alongside technology are more likely to
e ectively create and implement AI in procurement,
integrated within organizations.
achieve sustainable and e ective digital the business needs to have visionary leadership, leadership, and institutional capacity to withstand
transformation. proper governance, competent workforce, and an shocks and stresses will be a factor in the procurement Recommendations for Policymakers
Introduction governance and more Continuous professional development is therefore ethical culture of accountability. future, not only technological innovation itself. and Organizations
e cient operations by critical to responsible AI adoption. Through Pakistan's Public Sector Context: Reliable AI requires not only technical excellence, but Coordinated e orts between government agencies,
Arti cial Intelligence (AI) is increasingly being used to providing quicker and partnerships with academic institutions, also e ective governance, human oversight and
improve procurement e ciency, transparency, better decision making. knowledge-sharing initiatives, professional Preparing for Ethical AI-Enabled institutional accountability (OECD, 2019; UNESCO, regulatory agencies, professional associations, and
supplier evaluation and irregularity detection as certi cations and ongoing training, procurement Procurement 2021). academic institutions are necessary to bring ethical AI Cooperation between governmental organizations,
governments digitize their systems (OECD, 2019; World AI can assess a supplier's professionals can remain updated on evolving ethical from concept to practice. The following suggestions, academic institutions, and business sectors can c
Bank, 2023). It can modernize procurement processes overall performance in Digital governance has come a long way in Pakistan, as Often businesses assess digital transformation by which are based on the previous debate, could help promote the creation of workable AI governance c
and strengthen transparency and trust in public terms of quality, stability, standards, regulatory requirements and technological part of bigger public sector reform processes. The investing in software, automation or infrastructure. rms create procurement systems that are solutions and expedite the exchange of knowledge
procurement (Wirtz et al., 2019). delivery timeliness, risk developments. Ultimately, responsible AI-enabled country's e orts to modernize public nance Human agency and oversight must continue to be institutionally robust, ethically sound, and (World Bank, 2023). t
exposure and procurement depends not only on developing smarter administration, expand e-governance services and crucial to AI-enabled decision-making, as the UNESCO technologically sophisticated. s
However, AI adoption also raises ethical and sustainability e orts, not technologies but also on developing capable enhance regulatory oversight suggest a commitment Maintain Human Accountability for AI-Assisted s
governance concerns, particularly because professionals who can use, question and govern those to improve public nance accountability, e ciency Recommendation on the Ethics of Arti cial Invest Equally in Technology and Human Capital Decisions p
procurement involves signi cant nancial just by relying on Dr. Syed Faraz Ali technologies e ectively. and transparency. Some positive developments in Intelligence highlights (UNESCO, 2021). High-value procurement decisions, supplier c
commitments and public accountability. previous experience or Manager, ORIC public administration are the increasing adoption of The second priority is to enhance institutional AI literacy, data governance, and ethics and assessments, and circumstances with substantial h
Responsibility for ethical AI use rests with those who knowledge. Procurement Institute of Business Leadership, Governance, and digital nancial systems, e-procurement platforms, governance. Organizations need to establish procurement analytics should be part of the structured nancial, legal, or reputational rami cations shoul
design, manage and evaluate these systems (UNESCO, experts can concentrate Management (IoBM) Organizational Readiness and information-based decision making, which might governance processes that address issues with learning programs in organizational capacity building. require human monitoring. The public's con dence in
2021; NIST, 2023). on strategy planning, cybersecurity, explainability, algorithmic fairness, data Based on international experience, AI capability in the R
supplier relationship management, risk mitigation, and Ethical AI is only feasible in companies that are willing indicate a more exible and technologically advanced workforce is one of the most powerful factors for AI-enabled procurement systems is strengthened and
AI should therefore support, not replace, human value creation through automating boring to embrace innovation in conjunction with the moral public administration. quality, and compliance to procurement legislation governance is strengthened when signi cant human
judgement. Procurement professionals need skills in administrative tasks. This transformation can help the precepts of accountability, transparency, and The e cacy of AI depends on the skills of those in (NIST, 2023). successful AI adoption (OECD, 2019; UNESCO, 2021). control is maintained (UNESCO, 2021).

ethical decision-making, data analysis, regulatory procurement team move from transactional to charge of the procurement process, even though Develop Comprehensive AI Governance Promote Adaptive Regulatory and Institutional
compliance and critical evaluation. Organizations must strategic relationships, thereby helping to realize a responsibility. Leaders who perceive AI as a strategic The third priority is to foster an organization that is Frameworks Frameworks
also promote responsible innovation, transparency wider corporate goal in turn. capability are more likely to allocate resources for digital infrastructure is a crucial basis. AI literacy, ethical continually learning and exible. Professional
and accountability alongside technological workforce development, ethical governance, and decision-making, data governance, cybersecurity development, executive education, and an emphasis Governance frameworks should be established with Adaptive governance (OECD, 2019) allows •

advancement (UNESCO, 2021). Human Capital: The Cornerstone of organizational learning. awareness, and risk management should be included on multidisciplinary learning will help companies clear responsibilities, data transparency, data quality organisations to be responsive to the development o
in professional training besides the use of digital tools.
For Pakistan, where public-sector digitalization is Ethical AI-Driven Procurement One of the main challenges of leadership is to develop Moreover, the vision and commitment of the better navigate emerging technologies and evolving standards, human oversight, and auditing. The NIST innovation and to maintain accountability, •
contribute
to
transparency, and regulatory adherence. AI can
regulations.
These
investments

expanding, successful AI adoption requires investment Human capital is a fundamental enabler of ethical an organization culture that fosters responsible leadership will play a crucial role in shaping the future Arti cial Intelligence Risk Management Framework empower organizations to leverage the technology
in institutional readiness, employee capabilities, AI-enabled procurement. AI adoption is often viewed innovation. Businesses with an ethically-driven of procurement in Pakistan. Public sector leaders can innovation, as well as ethical responsibility in all (NIST, 2023) is a document that will be of great bene t •
ethical leadership and continuous professional primarily as a technology investment, with mindset, that facilitate open dialogue, communication drive responsible innovation by encouraging procurement activities (World Economic Forum, 2025). to organizations aiming to manage risks arising from e ectively while maintaining the integrity,
development. This article proposes a practical organizations focusing on software, digital and collective accountability are more likely to identify continuous innovation and learning, ensuring Procurement decisions are increasingly becoming AI, while maintaining the reliability of their AI systems. transparency, and accountability by adopting a •
approach to strengthening transparency and infrastructure and system integration. However, any potential unexpected implications that could cross-functional collaboration, and put in place connected with nance, legal issues, information Strengthen Continuous Professional Development balanced approach that leverages AI and human
accountability in digital procurement by combining AI without su cient AI literacy, decision-makers may create a risk to procurement integrity. governance systems to ensure accountability for technology, cyber-security, internal auditing and risk expertise and institutional integrity. •

with human expertise and e ective governance. either accept automated recommendations without Another essential aspect of AI governance is AI-supported decisions. management. AI-generated recommendations can be To implement specialized certi cation programs and Conclusion •
AI and the Evolution of Public adequate scrutiny or overlook valuable insights transparency. Transparency boosts business trust in The cooperation between the government evaluated by organizations from multiple perspectives executive education in AI-enabled procurement, As governments and organizations embark on their
digital governance, and responsible AI, professional

Procurement because they do not understand how AI-generated procurement processes by uncovering and xing departments, universities and professional accounting and, with the help of cross-functional collaboration, accounting organizations, procurement authorities, digital transformation, AI can enhance procurem
outputs are produced. The objective should therefore

possible biases or mistakes that could impact results.
reduce the risk of unintentional bias and raise
Technological innovation is crucial to making be to establish a balanced relationship between AI and AI models can be periodically tested, audited by third rms can further enhance the national readiness. The corporate accountability (OECD, 2019). academic institutions, and public-sector training performance, reduce ine ciencies, boost compliance,
partnerships would enable the development of a
transparency
throughout
the
promote
and
operations e cient, but businesses need to cultivate human expertise, where AI supports informed parties, assessed for data quality and monitored for workforce that would be future ready and robust facilities should work together. Procurement procurement process. The e ects of AI on procuremen

experts capable of making informed choices and decision-making rather than replacing professional performance to detect novel vulnerabilities stemming enough to be resilient to the new challenges to Lastly, companies need to understand that the key to a professionals will be able to respond to quickly •
uphold ethical standards while ensuring that AI judgement. from algorithmic bias, data integrity, cybersecurity or procurement in the legal and technical realm. The successful procurement reform is still public trust. changing technologies while upholding high ethical will depend on the quality and guidance of the
organizations, humans and governance to make this
remains responsible to corporate values and public Human involvement remains essential throughout the regulatory requirements. procurement process ought to be looked at as a critical Building trust is a task for capable individuals, and professional standards thanks to ongoing
expectations in the quest for sustainable procurement procurement process, particularly when decisions component of institutional integrity and public value accountable leadership, open governance, and professional development (World Economic Forum, happen.
reform. AI can be used by procurement professionals involve signi cant public funds, strategic Collaborative decision making allows organizations to as part of Pakistan's digital transformation agenda institutional behavior; algorithms can only play a role 2025). With the changing landscape of governance in
to monitor supplier performance, predict demand, organizational interests or public accountability. While balance the advantages of technology innovation, cost rather than merely an administrative process. In in fostering trust. Encourage Multi-Stakeholder Collaboration Pakistan's public sector, this is a perfect
manage inventory, identify potential procurement AI can improve e ciency, speed and analytical savings, compliance, ethics, and practicality. The conclusion, companies need to carefully weigh The strategic goals re ect the central theme of the bring innovation and accountability in the use of A
risks, track contract adherence, and even ag anything capacity, human professionals must remain governance table is more e ective and aware of innovation and ethics, as well as talent and skill article, Ethical AI-driven procurement is a human and Interdisciplinary involvement strengthens institutional public sector procurement. Investments of digital
unusual that could be a sign of nancial irregularity or responsible for interpreting results, assessing risks and decisions as it now includes the unique input from the development, to harness the vast potential of AI for responsibility, lessens organizational silos, and infrastructure will be needed to take advantage of
fraud. These capabilities create more e ective making consequential decisions. treasurer, attorney, internal auditor, compliance organizational problem, as well as a technological one. encourages balanced decision-making. promise.
specialist, cybersecurity specialist and procurement enhancing procurement results. Digital tools can help to create better procurement
58 ICMA’s Chartered Management Accountant, Jul-Aug 2026