Promoting Ethical Decision-Making

Real conversations at work feel rare. Lately, in my work with employees and leaders, I’ve noticed a troubling pattern: real conversations don’t happen. Instead, people get stuck in confrontation, cynicism, or silence. This pattern reminded me of a powerful chart I often use with executives to talk about this. It shows that real conversations—where tough topics are discussed productively—only happen when two things are present: high psychological safety and strong relationships. Too often, teams fall into one of these traps instead: (a) Cynicism (low safety, low relationships)—where skepticism and disengagement take over. (b) Omerta (low safety, high relationships)—where people stay silent to keep the peace. (c) Confrontation (high safety, low relationships)—where people speak up but without trust, so nothing moves forward. There are three practical steps to create real conversations that turn constructive discrepancies into progress: (1) Create a norm of curiosity. Ask, “What am I missing?” instead of assuming you’re right. Curiosity keeps disagreements productive instead of combative. (2) Balance candor with care. Being direct is valuable—but only when paired with genuine respect. People engage when they feel valued, not attacked. (3) Make it safe to challenge ideas. Model the behavior yourself: invite pushback, thank people for disagreeing, and reward those who surface hard truths. When safety is high, people contribute without fear. Where do you see teams getting stuck? What has helped you foster real conversations? #Leadership #PsychologicalSafety #Communication #Trust #Teamwork #Learning #Disagreement

✴ AI Governance Blueprint via ISO Standards – The 4-Legged Stool✴ ➡ ISO42001: The Foundation for Responsible AI #ISO42001 is dedicated to AI governance, guiding organizations in managing AI-specific risks like bias, transparency, and accountability. Focus areas include: ✅Risk Management: Defines processes for identifying and mitigating AI risks, ensuring systems are fair, robust, and ethically aligned. ✅Ethics and Transparency: Promotes policies that encourage transparency in AI operations, data usage, and decision-making. ✅Continuous Monitoring: Emphasizes ongoing improvement, adapting AI practices to address new risks and regulatory updates. ➡#ISO27001: Securing the Data Backbone AI relies heavily on data, making ISO27001’s information security framework essential. It protects data integrity through: ✅Data Confidentiality and Integrity: Ensures data protection, crucial for trustworthy AI operations. ✅Security Risk Management: Provides a systematic approach to managing security risks and preparing for potential breaches. ✅Business Continuity: Offers guidelines for incident response, ensuring AI systems remain reliable. ➡ISO27701: Privacy Assurance in AI #ISO27701 builds on ISO27001, adding a layer of privacy controls to protect personally identifiable information (PII) that AI systems may process. Key areas include: ✅Privacy Governance: Ensures AI systems handle PII responsibly, in compliance with privacy laws like GDPR. ✅Data Minimization and Protection: Establishes guidelines for minimizing PII exposure and enhancing privacy through data protection measures. ✅Transparency in Data Processing: Promotes clear communication about data collection, use, and consent, building trust in AI-driven services. ➡ISO37301: Building a Culture of Compliance #ISO37301 cultivates a compliance-focused culture, supporting AI’s ethical and legal responsibilities. Contributions include: ✅Compliance Obligations: Helps organizations meet current and future regulatory standards for AI. ✅Transparency and Accountability: Reinforces transparent reporting and adherence to ethical standards, building stakeholder trust. ✅Compliance Risk Assessment: Identifies legal or reputational risks AI systems might pose, enabling proactive mitigation. ➡Why This Quartet? Combining these standards establishes a comprehensive compliance framework: 🥇1. Unified Risk and Privacy Management: Integrates AI-specific risk (ISO42001), data security (ISO27001), and privacy (ISO27701) with compliance (ISO37301), creating a holistic approach to risk mitigation. 🥈 2. Cross-Functional Alignment: Encourages collaboration across AI, IT, and compliance teams, fostering a unified response to AI risks and privacy concerns. 🥉 3. Continuous Improvement: ISO42001’s ongoing improvement cycle, supported by ISO27001’s security measures, ISO27701’s privacy protocols, and ISO37301’s compliance adaptability, ensures the framework remains resilient and adaptable to emerging challenges.

Building a strong company culture is a continuous process. It requires more than just defining values and hanging posters on the wall. It demands active participation and a genuine commitment to two-way communication. Too often, organizations fall into the trap of "top-down" culture building. Leaders dictate the values, but employees are left feeling unheard and disconnected. True culture change happens from the bottom up. Think of it like this: you can say you value transparency, but if you look down on people who speak up, your culture will be anything but transparent. Actions speak louder than words. So, how do we build cultures that truly resonate? • Involve employees in the process from the start. • Create safe spaces for open and honest feedback. • Empower individuals to contribute to shaping the culture. • Be consistent in your actions, demonstrating the values you preach. The result? A workplace where people are engaged and genuinely invested in the company's success. Yes, building a culture of trust and transparency takes time and effort. But the payoff is immense.

Transparency can be an empty promise, or it can be a true practice to engender trust. At Rubrik, we’ve always believed that it should be a true practice - which is why we held open board meetings for our first 7-8 years, till a few years before we went public. Our open board meetings showed our employees that we were genuinely committed to transparency, and this commitment was key to our success as we grew…because it bred trust. When you’re an early-stage startup, you often bring in top talent and ask for their prime years as you work hard to build your company from the ground up. The least leadership can do in return? Provide full transparency about the company’s status so that employees are never in doubt about where their efforts are going. Plus, early-stage startups have no obligation to be transparent about their financials the way public companies do - so sharing information without anyone asking is a great way to show employees that you care about them being in the loop as you grow. This full transparency has a cascading positive effect, in that it breeds a high-trust environment. In a high-trust environment, everyone has the same information as everyone else, so it’s easy to align and easy to move fast. That’s exactly the sequence we’ve seen as we’ve built Rubrik: we started with transparency, built trust, and moved fast. Now, we’re a public company with a bright future. Transparency is a superpower - so don’t just talk about it. Act on it.

🤝 How Do We Build Trust Between Humans and Agents? Everyone is talking about AI agents. Autonomous systems that can decide, act, and deliver value at scale. Analysts estimate they could unlock $450B in economic impact by 2028. And yet… Most organizations are still struggling to scale them. Why? Because the challenge isn’t technical. It’s trust. 📉 Trust in AI has plummeted from 43% to just 27%. The paradox: AI’s potential is skyrocketing, while our confidence in it is collapsing. 🔑 So how do we fix it? My research and practice point to clear strategies: Transparency → Agents can’t be black boxes. Users must understand why a decision was made. Human Oversight → Think co-pilot, not unsupervised driver. Strategic oversight keeps AI aligned with values and goals. Gradual Adoption → Earn trust step by step: first verify everything, then verify selectively, and only at maturity allow full autonomy—with checkpoints and audits. Control → Configurable guardrails, real-time intervention, and human handoffs ensure accountability. Monitoring → Dashboards, anomaly detection, and continuous audits keep systems predictable. Culture & Skills → Upskilled teams who see agents as partners, not threats, drive adoption. Done right, this creates what I call Human-Agent Chemistry — the engine of innovation and growth. According to research, the results are measurable: 📈 65% more engagement in high-value tasks 🎨 53% increase in creativity 💡 49% boost in employee satisfaction 👉 The future of agents isn’t about full autonomy. It’s about calibrated trust — a new model where humans provide judgment, empathy, and context, and agents bring speed, precision, and scale. The question is: will leaders treat trust as an afterthought, or as the foundation for the next wave of growth? What do you think — are we moving too fast on autonomy, or too slow on trust? #AI #AIagents #HumanAICollaboration #FutureOfWork #AIethics #ResponsibleAI

Culture is everything 🙏🏾 When leaders accept or overlook poor behaviour, they implicitly endorse those actions, potentially eroding the organisation’s values and morale. To build a thriving culture, leaders must actively shape it by refusing to tolerate behaviour that contradicts their values and expectations.
 The best leaders: 
 1. Define and Communicate Core Values: * Articulate Expectations: Clearly define and communicate the organisation’s core values and behavioural expectations. Make these values central to every aspect of the organisation’s operations and culture. * Embed Values in Policies: Integrate these values into your policies, procedures, and performance metrics to ensure they are reflected in daily operations. 
 2. Model the Behaviour You Expect: * Lead by Example: Demonstrate the behaviour you want to see in others. Your actions should reflect the organisation’s values, from how you interact with employees to how you handle challenges. 3. Address Poor Behaviour Promptly: * Act Quickly: Confront and address inappropriate behaviour as soon as it occurs. Delays in addressing issues can lead to a culture of tolerance for misconduct. * Apply Consistent Consequences: Ensure that consequences for poor behaviour are fair, consistent, and aligned with organisational values. This reinforces that there are clear boundaries and expectations.
 4. Foster a Culture of Accountability: * Encourage Self-Regulation: Promote an environment where everyone is encouraged to hold themselves and others accountable for their actions. * Provide Support: Offer resources and support for employees to understand and align with organisational values, helping them navigate challenges and uphold standards.
 5. Seek and Act on Feedback: * Encourage Open Communication: Create channels for employees to provide feedback on behaviour and organisational culture without fear of reprisal. * Respond Constructively: Act on feedback to address and rectify issues. This shows that you value employee input and are committed to maintaining a positive culture.
 6. Celebrate Positive Behaviour: * Recognise and Reward: Acknowledge and reward employees who exemplify the organisation’s values. Celebrating positive behaviour reinforces the desired culture and motivates others to follow suit. * Share Success Stories: Highlight examples of how upholding values has led to positive outcomes, reinforcing the connection between behaviour and organisational success.
 7. Invest in Leadership Development: * Provide Training: Offer training and development opportunities for leaders at all levels to enhance their skills in managing behaviour and fostering a positive culture. 8. Promote Inclusivity and Respect: * Build a Diverse Environment: Create a culture that respects and values diversity. Inclusivity strengthens the organisational fabric and fosters a more collaborative and supportive work environment.

Effective boards recognise that governance is not only about making the right calls, but also about providing enough context for those calls to be understood. In practice, this means recognising that decisions don’t speak for themselves. Choices around priorities, resource allocation, leadership roles, or succession are interpreted through the lens of power, history, and relationships. Clarity doesn’t require full transparency but it does require enough context to anchor understanding and reduce speculation. This is not about optics, it’s about how people make sense of authority. When reasoning is visible, trust is easier to maintain and disagreement remains productive. When it isn’t, ambiguity fills the gap. Strong governance balances discretion with explanation knowing not just what to decide, but how those decisions are framed.

🛰️ 75% of industrial fishing vessels are invisible. Let that sink in. Most of the world's industrial fishing fleet is sailing under the radar - literally - and it’s a crisis we can no longer afford to ignore. 🌊 The ocean feeds over 3 billion people and drives the global economy, but the systems meant to oversee how we fish it are wildly outdated. With super-trawlers on the loose, hovering up to 400,000 tons of fish per day, per vessel... We need to protect our oceans. No global rule currently requires vessels to share tracking data. That’s left the seas wide open to exploitation. 📡 Enter Global Fishing Watch They’re fighting to drag one of the world’s most secretive industries into the light. And they’ve got a clear solution: a binding global vessel tracking rule. Why does it matter? 🔍 The problem: - No global rule requires vessels to carry tracking systems. - Vessels can switch them off or manipulate data to stay hidden. - Coastal nations often lack the tools or capacity to monitor what’s really happening offshore. 🛑 This lack of oversight creates the perfect storm for illegal and unregulated fishing. The fix is simple and powerful: make tracking public and mandatory. 🎯 With universal tracking: ✅ Authorities can focus on enforcement, not detective work. ✅ Operators prove compliance, rather than authorities trying to expose wrongdoing. ✅ We shift the burden from the overwhelmed to the accountable. It’s a game-changer. And Global Fishing Watch is rallying governments, especially at the upcoming "Our Ocean Conference" in Busan, to back this vision. So what’s the holdup? 🔐 The secrecy culture Fishing has long been guarded. Fear of losing fishing grounds, competition, and decades of “that’s just how it’s done” have left officials and operators reluctant to embrace transparency. But the world has changed. 🛰️ Satellite tech is affordable. 🌐 Data is accessible. ⚖️ Fairness is non-negotiable. How do we move forward? 🌍 Global Fishing Watch is: - Supporting countries to implement tracking tools tailored to their capacity. - Advocating for public vessel tracking through the FAO and global forums. - Offering open-access tools and technical support to nations that need it. 💡 Even a basic public tracking system can give poorer nations a fighting chance to protect their waters and enforce sustainable fishing. No more ghost ships. No more blind spots. It’s time for a new era of ocean accountability. Read more: https://lnkd.in/eKRiHDtG.

Yesterday I was caught off guard. I was on a WhatsApp call discussing a possible speaking opportunity - great chat, good energy. And just as we were wrapping up, the person said: “Oh, Granola will have captured that.” I was stunned. AI had been running in the background the whole time, invisible and silently transcribing the conversation. No heads-up. No mention. No visability….Just... logged and stored. And it left me with a strange feeling - not because I said anything controversial, but because I hadn’t knowingly consented. This moment crystallised something for me: We’re not just building new systems - we’re being asked to trust them. And trust starts with transparency. As HR professionals, we’re navigating one of the biggest shifts in how work gets done. AI is changing the speed, scale and structure of our roles.  But just as important as what we’re using is how we use it. If we want our organisations to come with us on this journey - to adopt new tools, embrace change, and stay ethically grounded - we need to lead with: ✅ Transparency ✅ Informed consent ✅ Clear communication at every step Because it’s not just about compliance. 👉 It’s about psychological safety. 👉 It’s about power dynamics. 👉 It’s about making sure humans stay at the centre of human resources. That one sentence - “Granola will have captured that” - has stayed with me. A casual comment that reminded me: people shouldn’t need to guess if they’re being recorded. They should know. Transparency has been a key design principle as we built Mak over here at humaneer because we believe informed consent is key to building trust across organisations when HR is using AI. I’d love to know your thoughts on this, do you think using AI thats not visible without informed consent will help or hinder us as we move into a new era of HR? Let me know 👇 #NewEraOfHR #futureofwork #HR Annie Johnson Kimberly Burns

Values → Principles → Behaviors: A Practical Breakdown for Culture Design When I facilitate workshops on code of conduct, values, or culture, I often see organizations spending too much time choosing the right value word—and not nearly enough time developing the principles and behaviors that bring those values to life. But here’s the truth: ✅ Behaviors are what matter most. They are where values and principles show up in everyday actions—and they are the clearest indicator of a healthy culture. 🔍 Definitions: What’s the difference? Let’s break down the core concepts and how they interrelate: Values are your core beliefs — the things that matter most. E.g., Integrity, Growth, Respect Principles are the guiding rules that make values actionable in context. E.g., "We always tell the truth, even when it’s uncomfortable." Behaviors are the visible actions that show your principles in real life. E.g., Admitting a mistake, calling out misalignment, actively listening. This flow is sequential and reinforcing: Values → Principles → Behaviors Each layer builds on the one before it—and when done well, they create clarity and accountability. 📌 Example Cascades 🟢 Value: Integrity Principle: We always tell the truth, even when it’s uncomfortable. Behaviors: “I made an error in the client report — I’ll correct it and let them know.” “This recommendation might be effective, but it doesn’t align with what we promised. Can we revisit it?” 🔵 Value: Respect Principle: We listen actively and speak with care, even when we disagree. Behaviors: In meetings, we don’t interrupt others. We ask clarifying questions before responding. We give credit publicly and provide feedback privately. When I design or review a code of conduct, this is the structure I use: Start with values, but don’t stop there. Move beyond the posters and into real practices. If this post gave you a new insight or reminded you of something insightful, drop a comment below —I’d love to hear your take (and yes, I read every comment myself — no AI automation here! :)