In this conversation, GWIC host Dr. Hemma R. Lomax and Shalini Rajoo explore the critical role of decision rubrics in governance, accountability, and trust, especially in the context of AI. Shalini shares her journey from law to compliance, emphasizing the importance of understanding systems and the impact of leadership on decision-making processes. They discuss how transparency and clarity in decision-making can build trust within organizations and the necessity of responsible AI governance. Practical tips for improving decision quality are also provided, highlighting the importance of self-awareness and critical thinking in leadership. Takeaways: The biggest risk in governance is unclear decisions. AI amplifies existing clarity or confusion in decision-making. Systems and rules reflect the identities of their architects. Everyone has an impact on those around them every day. Leadership is about improving the people around you. It's not just about rules; it's about how people behave. Decision rubrics provide consistency and predictability in outcomes. Transparency in decision-making processes builds trust. Slowing down to ask questions can lead to better decision-making. Writing down the reasons for decisions brings clarity and accountability. Sound bites: "Systems and rules are not inherently neutral." "Transparency in decision making builds trust." "Slow is smooth, and smooth is fast." Chapters: 00:00 Introduction to Decision Rubrics and Governance 02:55 Shalini's Journey: From Law to Governance 06:09 The Impact of Systems on Leadership and Accountability 09:09 Transitioning to Compliance and Ethics 11:49 Understanding Decision Rubrics in Compliance 15:06 The Role of Leadership in Decision Making 18:03 Designing Conditions for Effective Decision Making 20:47 The Importance of Transparency in Decision Processes 24:09 Decision Rubrics: Building Trust in Organizations 26:49 AI and Governance: Leadership Infrastructure Failures 29:47 Responsible AI: The Role of Ethics and Compliance 32:55 Practical Tips for Improving Decision Quality 36:00 Conclusion: The Future of Decision Making in AI Guest Biography: Shalini Rajoo is the Founder and Principal Consultant of Shalini Rajoo Advisory, LLC, where she partners with organizations to design governance, compliance, and decision-making systems that are resilient, trustworthy, and aligned to real operational pressures. Across more than two decades in law, compliance, HR, and organizational leadership, Shalini has helped companies and leaders move beyond check-the-box frameworks to build structures that embed accountability, clarity, and performance into everyday decisions. She began her career in South Africa, first as a public prosecutor and then leading regulatory work with the Department of Trade and Industry, collaborating with legislative and executive stakeholders on corporate, competition, and consumer law. After relocating to the U.S., Shalini practiced commercial litigation. She later served as Director of Global Business Conduct for a Fortune 500 company, where she redesigned ethics and compliance systems, led global risk assessments, and championed psychological safety and integrity-based practices. Today, Shalini’s work centers on helping leaders clarify decision rights, governance architectures, and accountability pathways — especially as organizations adopt AI and automation. She recently spoke at the Opal Group’s Corporate Governance & Ethics in the Age of AI conference, where she reframed AI governance as a leadership-infrastructure challenge rather than a purely technical or compliance one.
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