Transparency in CSR Reporting

20 years ago, transparency was seen as a risk. Today, it's become the strongest currency in building customer trust. Take ANITA DONGRE's brand- Grassroots. By being completely transparent about their: > Organic fabric sourcing > Fair wage practices > Sustainable production methods  They've built unprecedented customer loyalty. 65% of shoppers now switch brands based on supply chain transparency (FMI- The Food Industry Association Report, 2024) Transparency has become a cornerstone for fostering customer loyalty, and brands like Anita Dongre’s Grassroots are setting a powerful example. By openly sharing their methods and practices, they build trust with consumers who prioritize honesty and ethical sourcing. Today's customers invest in values, caring about product origins, makers, environmental impact, and fair labor. But here's what most brands miss: transparency isn't just about sharing information—it's about building trust. With over 20+ years in retailing across India, Pakistan, and Bangladesh, I’ve learned that: > Being transparent about challenges, processes, and mistakes turns customers into trusted partners who understand our value and commitment. > The future belongs to brands brave enough to open their books and share their stories. Because in today's connected world, the most valuable thing we can offer isn't just quality products—it's authentic transparency. What transparency practices would you like to see more brands adopt? #RetailStrategy #CustomerTrust

Medical AI can't earn clinicians' trust if we can't see how it works - this review shows where transparency is breaking down and how to fix it. 1️⃣ Most medical AI systems are "black boxes", trained on private datasets with little visibility into how they work or why they fail. 2️⃣ Transparency spans three stages: data (how it's collected, labeled, and shared), model (how predictions are made), and deployment (how performance is monitored). 3️⃣ Data transparency is hampered by missing demographic details, labeling inconsistencies, and lack of access - limiting reproducibility and fairness. 4️⃣ Explainable AI (XAI) tools like SHAP, LIME, and Grad-CAM can show which features models rely on, but still demand technical skill and may not match clinical reasoning. 5️⃣ Concept-based methods (like TCAV or ProtoPNet) aim to explain predictions in terms clinicians understand - e.g., redness or asymmetry in skin lesions. 6️⃣ Counterfactual tools flip model decisions to show what would need to change, revealing hidden biases like reliance on background skin texture. 7️⃣ Continuous performance monitoring post-deployment is rare but essential - only 2% of FDA-cleared tools showed evidence of it. 8️⃣ Regulatory frameworks (e.g., FDA's Total Product Lifecycle, GMLP) now demand explainability, user-centered design, and ongoing updates. 9️⃣ LLMs (like ChatGPT) add transparency challenges; techniques like retrieval-augmented generation help, but explanations may still lack faithfulness. 🔟 Integrating explainability into EHRs, minimizing cognitive load, and training clinicians on AI's limits are key to real-world adoption. ✍🏻 Chanwoo Kim, Soham U. Gadgil, Su-In Lee. Transparency of medical artificial intelligence systems. Nature Reviews Bioengineering. 2025. DOI: 10.1038/s44222-025-00363-w (behind paywall)

✨New working paper on the trade-offs involved in AI transparency in news 🤖📝 How does a global news organisation disclose its use of AI? Where, when and how should readers be told when algorithms shape the news they consume? Based on a case study of the Financial Times and led by Liz Lohn we argue that transparency about AI in news is best understood as a spectrum, evolving with tech advancements, commercial, professional and ethical considerations and shifting audience attitudes. 🔗Pre-print: https://lnkd.in/gV3dPXgS 1️⃣ AI‑transparency ≠ a binary. At the FT it’s a hybrid of policy, process and practice. Senior leadership sets explicit principles, cross‑functional panels vet new applications, and AI use is signposted in internal/external tools and reinforced through training. 2️⃣ Disclosure is calibrated to context. Internally, full disclosure aims to reduce frictions and surfaces errors early; externally, labels are scaled with autonomy and oversight. No‑human‑in‑the‑loop features (e.g. Ask FT) get prominent warnings, whereas AI‑assisted, journalist‑edited outputs (e.g. bullet‑point summaries) get lighter labelling. 3️⃣ Nine factors shape what, when & how the FT discloses AI use. These include legal/provider requirements, industry benchmarking, the degree of human oversight, the nature of the task, system novelty, audience expectations & research, perceived risk, commercial sensitivities and design constraints. 4️⃣ Persistent challenges include achieving consistent labelling (especially on mobile), breaking organisational silos, keeping pace with evolving models and norms, guarding against creeping human over‑reliance, and mitigating against “transparency backfire” where disclosures reduce trust. For those of you more academically interested in this, we argue that AI transparency at the FT is shaped by isomorphic pressures – regulations, peer practices and audience expectations – and by intersecting institutional logics. Internally, managerial and commercial logics push for efficient adoption and risk management; externally, professional journalism ethics and commercial imperatives drive an aim to remain trustworthy. Crucially, we argue that AI transparency is best seen as a spectrum: optimising one factor (e.g. maximum disclosure) can undermine others (e.g. perceived trust or revenue). There does not seem to be a one‑size‑fits‑all rule; instead transparency must adapt to org context, audiences and technology. We are very grateful to the team at the Financial Times, particularly Matthew Garrahan, for supporting this study from the outset – and to the participants from the FT who volunteered their precious time to help us in understanding this issue. Feedback welcome, especially on the theoretical section and the discussion as well as literature that we will have missed! So feel free to plug your own or other people’s material, all of which will be appreciated as Liz and I work towards a journal submission.

📌️ ESG Reporting A to Z ESG (Environmental, Social, and Governance) reporting is a framework for companies to disclose their sustainability and ethical impact. It tracks everything from carbon footprint to fair labor practices, giving stakeholders a clear picture of whether a company is future ready or just chasing short term gains. With growing regulatory mandates (like the EU’s CSRD) and 85% of investors now factoring ESG into decisions, transparency is no longer optional but a competitive advantage. ESG reporting builds trust, mitigates risks, and attracts stakeholders who prioritize sustainability. Studies show that 66% of consumers prefer eco conscious brands, while employees seek purpose driven workplaces. As global regulations increase, businesses that adopt strong ESG practices succeed and add long term value. The future of business is accountable, and ESG reporting is leading the way. • Assurance: Third party verification to boost credibility (e.g., AA1000AS Standard). • Board & Governance: Oversight of ESG strategy and risks. • Compliance & Regulations: Meeting mandatory disclosure rules (e.g., CSRD in EU, SEC rules in US). • Double Materiality: Reporting on how sustainability affects the company (outside-in) AND the company's impact (inside-out). • Environmental: Climate, emissions, waste, water, biodiversity. • Frameworks: GRI, SASB, TCFD, CDP, ISSB. • Governance: Ethics, leadership, board diversity, executive pay. • Holistic View: Integrating ESG into overall business strategy. • Inclusivity: Engaging diverse stakeholders (employees, customers, investors). • Journey: ESG is an ongoing process, not a one off report. • Knowledge: Building internal expertise on ESG reporting. • Latest Trends: Staying ahead of evolving investor & regulatory demands (e.g., Gen Z demands). • Materiality Assessment: Identifying financially significant ESG issues for your industry. • Net Zero/Decarbonization: Key environmental goals and strategies. • Operational Integration: Making ESG part of core business, not separate. • Pillars: The core E, S, and G (and sometimes Reporting/Integration). • Quality Data: Ensuring accuracy, timeliness, and reliability. • Reporting: The act of disclosure (e.g., step-by-step guide). • Social: Labor practices, human rights, diversity, community impact. • Target Setting: Creating measurable goals (e.g., science based targets). • Understanding Requirements: Knowing what your specific regulations demand. • Value: Demonstrating financial value and risk management. • Working Groups: Cross functional teams to manage reporting. • X-Factor: The competitive advantage companies gain by embedding ESG into their core strategy. • Yield: Investor returns linked to strong ESG performance. • Zero Waste/Carbon: Ambitious environmental goals. #ESG #ESGReporting #Sustainability #SustainableBusiness #ResponsibleBusiness #Decarbonization #ImpactInvesting

Explainable AI strengthens accountability and integrity in automation by making algorithmic reasoning transparent, ensuring fair governance, detecting bias, supporting compliance, and nurturing trust that sustains responsible innovation. Organizations that aim to integrate AI responsibly face a common challenge: understanding how decisions are made by their systems. Without clarity, compliance becomes fragile and ethics remain theoretical. Explainable AI brings visibility into this process, translating complex model logic into a language that regulators, auditors, and executives can actually understand. Transparency is not a luxury. It is a structural requirement for building trust in automated decision-making. When models are explainable, teams can trace outcomes, identify hidden biases, and take timely corrective action before risk escalates. This level of insight also helps align technology with existing regulatory frameworks, from GDPR principles to sector-specific governance standards. Embedding explainability within AI governance frameworks creates a bridge between innovation and responsibility. It helps organizations evolve without compromising accountability, ensuring that progress remains both human-centered and sustainable. #ExplainableAI #EthicalAI #AIGovernance #Compliance #Trust

Sustainability Reporting 🌍 Clear, credible, and decision useful sustainability reporting has become a baseline expectation. Yet many organizations still struggle with where to start or how to improve. These two diagrams developed by BSR offer a helpful roadmap to design or refine any reporting process. The first diagram outlines five essential steps: from setting priorities and building a data structure, to developing content, communicating results, and reviewing lessons learned. It emphasizes materiality, audience needs, governance, and alignment with standards, cornerstones of any effective report. Step 1 focuses on setting a clear strategy and goals, conducting a materiality assessment, and benchmarking peer practices. These actions ensure the report is relevant, strategic, and anchored in what truly matters. Step 2 is about building the right structure: identifying key audiences, assessing gaps with existing frameworks, and drafting a high level outline linked to priorities. Governance processes are also set up here to support quality control. Steps 3 and 4 move into content creation and publication. Content should be iterative, aligned with standards like GRI or SASB, and clearly approved internally. Once finalized, communication should be adapted to internal and external audiences, reinforcing transparency and accountability. Step 5 is often overlooked but critical, reviewing the process and iterating. A good report is not just a document, but a learning tool to improve strategy, operations, and future disclosures. The second diagram introduces ten principles for strong reporting, grouped into two categories: report content and report quality. Content should be material, strategic, contextual, and complete, backed by clear KPIs and performance narratives. Quality, on the other hand, requires stakeholder engagement, balanced storytelling, external assurance, consistency, and information connectivity. These elements ensure that reports are not only informative, but trustworthy and comparable. Together, these frameworks provide a comprehensive view of what makes sustainability reporting effective, both in process and in substance. A helpful reference for any team seeking to align with evolving expectations. Source: BSR #sustainability #sustainable #business #esg

Robert Eccles and Shiva Rajgopal have published a compelling piece on #integratedreporting that speaks directly to something we’ve been working to demonstrate at Philip Morris International: sustainability isn’t separate from business strategy - it is business strategy. Their framework resonates deeply with our approach. At PMI, we’ve moved well beyond viewing sustainability through a compliance lens. Our five-pillar framework - from compliance and risk mitigation through operational efficiency and innovation, to purpose and impact - reflects how #sustainability is woven into every business decision we make. What Bob and Shiva articulate so well is the need to shift conversations from ideology to #materiality and performance. This is exactly what we’ve been building toward through our comprehensive sustainability materiality assessments, our Sustainability Index linked to executive compensation, and our Business Transformation Metrics with third-party assurance, making our #transformation measurable, transparent, and verifiable When we say we’re working to make cigarettes obsolete, we back it with clear KPIs, published methodologies, and accountability structures that link sustainability performance to business value creation. Our approach recognizes what Bob and Shiva emphasize: sustainability challenges are interconnected and require understanding their interdependencies across the value chain. We prioritize solutions with synergistic benefits while acknowledging trade-offs honestly - because informed decision-making requires transparency about the choices we’re making and why. For us, sustainability isn’t a department or a parallel reporting exercise. It’s embedded in our operations, our innovation pipeline, our supply chain, our stakeholder engagement, and fundamentally, in how we measure success, because financial and non-financial performance are inseparable in driving long-term value creation. For those interested in their work on integrated reporting 2.0, I encourage you to read the full article. And if you’re curious about how we’re implementing these principles at PMI, our Integrated Report provides detailed insight into our approach. The future of sustainability reporting isn’t about choosing between stakeholder and shareholder perspectives - it’s about demonstrating how they’re intrinsically linked to #valuecreation.

Building ESG: Five Steps to Shine in Sustainability Reporting ________________________________________ Sustainability reporting is no longer a niche pursuit, it's a strategic communication tool. But where do you begin? Here's a roadmap to craft a compelling sustainability report: 1. Set Priorities and Develop Strategy: Identify your most significant sustainability issues through a materiality assessment. This forms the foundation of your report, guiding content and showcasing your commitment to the most impactful areas. 2. Build the Structure and Gather Data: Choose a reporting framework that aligns with your industry and goals. Then, gather data from relevant departments to measure progress on your identified priorities. 3. Develop and Revise Content: Craft a clear and concise narrative that tells your sustainability story. Use data effectively, but remember human connection is key. Include visuals, employee testimonials, and future goals to engage your audience. 4. Finalize and Communicate: Ensure your report adheres to chosen frameworks and seek external assurance if needed. Promote your report through various channels to reach stakeholders and amplify your sustainability efforts. 5. Review Learnings and Iterate: Gather feedback and analyze the impact of your report. Use these insights to continuously improve your strategy and reporting practices for the next cycle. Ready to embark on your sustainability reporting journey? Image Credit: BSR Share your thoughts and experiences in the comments below! Please feel free to share (Disclaimer: Views are personal, should not be related to organisations view) #buildingEsg #circulareconomy #sustainablefinance #esgreporting #esgstrategy #esgrisk #climaterisk #climatechangeaction #climaterisks #india #emissions #esgratings #esg #cop28 #greenertogether #SDGs #sustainability #business #csr

What makes a great ESG report truly stand out? I’ve been diving into sustainability reports recently, and one thing has become clear: Not all ESG disclosures are created equal. Some companies go beyond ticking boxes they build trust, show transparency, and commit to accountability. But how do they do it? Let me walk you through what I’ve learned, step by step. Recently, I reviewed an ESG report from a leading company. They didn’t just reference frameworks like GRI (Global Reporting Initiative) or TCFD (Task Force on Climate-related Financial Disclosures) they aligned their goals with measurable, impactful actions. Their report even included a framework alignment matrix in the appendix, making it clear how their disclosures mapped to global standards. But it didn’t stop there. They acknowledged their climate risks using TCFD and IFRS frameworks, and they openly shared their performance on third-party ratings like MSCI and Sustainalytics. The cherry on top? They enlisted third-party assurance for their ESG data, adding credibility to their claims. That extra step made their commitments feel authentic, not just performative. Here’s why this matters: -A 2023 study by PwC found that 87% of investors view ESG disclosures as essential for decision-making, yet only 13% feel confident in the quality of ESG data provided. -Transparency and independent assurance aren’t just “nice to have”—they’re becoming non-negotiable for stakeholders. From my perspective, Reviewing these reports isn’t just an academic exercise. It’s a way to see which companies walk the talk. For those of us working in sustainability, finance, or governance, it’s also a reminder of the evolving expectations we face. I challenge you to try this exercise: Pick a company. Review their ESG or sustainability report. Look for alignment with frameworks, third-party ratings, and assurance practices. Then ask yourself: Does this report inspire confidence? Whether you’re an investor, a professional, or someone passionate about sustainability, this practice reveals so much about how companies communicate their values and their impact. What’s the best ESG report you’ve come across? #Sustainability #ESG #Transparency #SustainableBusiness