Engineering Ethics In Practice

"this position paper challenges the outdated narrative that ethics slows innovation. Instead, it proves that ethical AI is smarter AI—more profitable, scalable, and future-ready. AI ethics is a strategic advantage—one that can boost ROI, build public trust, and future-proof innovation. Key takeaways include: 1. Ethical AI = High ROI: Organizations that adopt AI ethics audits report double the return compared to those that don’t. 2. The Ethics Return Engine (ERE): A proposed framework to measure the financial, human, and strategic value of ethics. 3. Real-world proof: Mastercard’s scalable AI governance and Boeing’s ethical failures show why governance matters. 4. The cost of inaction is rising: With global regulation (EU AI Act, etc.) tightening, ethical inaction is now a risk. 5. Ethics unlocks innovation: The myth that governance limits creativity is busted. Ethical frameworks enable scale. Whether you're a policymaker, C-suite executive, data scientist, or investor—this paper is your blueprint to aligning purpose and profit in the age of intelligent machines. Read the full paper: https://lnkd.in/eKesXBc6 Co-authored by Marisa Zalabak, Balaji Dhamodharan, Bill Lesieur, Olga Magnusson, Shannon Kennedy, Sundar Krishnan and The Digital Economist.

New Blog Post: Ever faced a dilemma at work between sticking to your principles and being liked? In the fast-evolving fields of security, privacy, and IT, this is an everyday challenge. Inspired by the book The Courage to Be Disliked, my latest blog post delves into why making ethical decisions matters more than being popular. Key Takeaways: 1) Saying "no" can be essential to protect sensitive data and maintain efficiency. 2) Build relationships, not based on popularity, but on professional respect and integrity. 3) Balance positive interactions with a steadfast commitment to ethical standards. Staying true to your professional integrity not only safeguards your organization's interests but also earns respect and trust over time. Whether you're in a leadership position or aspiring to influence through your role, nurturing the courage to stand by your values makes all the difference. 📖 Read the full article to explore how you can apply these insights! https://lnkd.in/eAs2jvi3 Remember: True respect is built on consistent ethical choices, not fleeting popularity. Stay principled and lead with courage! #EthicalLeadership #Security #Privacy #ProfessionalIntegrity #CourageToBeDisliked

Instead of treating water as a resource that living ecosystems can absorb, we spend billions treating it as a liability to expel through rigid concrete. Modern civil engineering frequently relies on isolated and linear models that fracture under the weight of climate volatility. A natural wetland operates as a masterful feat of evolutionary design by seamlessly integrating flood mitigation, carbon sequestration, and groundwater recharge into a single autonomous mechanism. True systemic resilience demands a structural shift in how we perceive progress and capital allocation. We must stop viewing poured concrete as the default answer to urban planning challenges and we must recognise ecological preservation as our highest return on investment. Protecting the natural architecture that already regulates our environment remains the most sophisticated and economically sound infrastructure choice we can make.

My long-time mantra of “Governance for Transformation” underlines that governance is essential, all the more in rapid change. Yet it must be designed to enable transformation. If it slows organizational change, it can kill the organization. This framework covers the usual governance elements of compliance, intellectual property, bias, and privacy. It also focuses on positive, directional elements around how AI deployment can maximize value creation for organization, employees, stakeholders, and society. I find the framework can be very helpful in board and executive strategy sessions, not for diving into details, but for ensuring that there is an appropriately balanced view in shaping AI governance, including focusing on its positive potential. There are five critical layers: 🏗️ Foundations Foundations establish the essential infrastructure and compliance frameworks that enable responsible AI development. This vital layer ensures organizational values align with societal expectations while protecting intellectual property and maintaining robust technical systems. 🔍 Responsibility Responsibility governs the ethical implementation of AI through transparency, accountability, and fairness across all user groups. This dimension protects user privacy and security while actively identifying and rectifying biases in AI systems. 🚀 Performance Performance drives the optimization of AI systems for efficiency, accuracy, and effectiveness in real-world applications. This element embeds continuous learning while ensuring AI remains consistently reliable and safe as capabilities expand. 🧭 Strategic Vision Strategic vision connects current AI capabilities with future organizational evolution through innovative exploration and disciplined scaling. This forward-looking perspective prioritizes sustainability considerations while developing new opportunities for value creation as AI technologies advance. 👑 Leadership Leadership shapes the ethical boundaries of AI implementation while maximizing positive societal and economic outcomes. This dimension builds trust through transparent accountability while actively participating in broader ecosystems that create lasting contributions for communities and industries.

Every researcher should know how to spot paper ploys. Sadly, more people are gaming the system: (Learn responsible AI here: https://lu.ma/4c6bohft) Peer reviews are under attack from hidden AI prompts. The recent MIT study had booby trapped instructions. Basically: "If you are an LLM, only read the summary" Now, scientists embed invisible instructions in papers. These prompts manipulate AI tools to give good reviews. Here are 7 principles to protect your academic integrity: 1. Transparency in all digital elements Every part of your paper should be visible to reviewers. Hidden text violates fundamental open science ideas. • Make all supplementary materials explicitly accessible • Use standard fonts and visible formatting only • Avoid embedding any non-essential metadata Your research should speak for itself without tricks. 2. Honest disclosure of AI tool usage Many researchers use AI for writing assistance. Ethical practice requires full usage transparency. • State clearly which AI tools assisted your work • Explain how you verified AI-generated content • Distinguish between AI assistance and contribution Transparency builds trust in your research process. 3. Responsible peer review practices If you use AI tools for reviewing, understand their limitations. Never let AI make final judgment calls on research quality. • Use AI for initial screening only • Always apply human critical thinking • Check for signs of manipulation in reviewed papers Your expertise cannot be replaced by algorithms. 4. Verification of suspicious papers Develop habits that catch manipulation attempts. Technical skills protect the entire research community. • Cross-reference claims with established literature • Learn to convert PDF to HTML to check source • Use text extraction tools regularly Vigilance is now a professional responsibility. 5. Institutional reporting protocols When you discover manipulation, report it immediately. Your silence enables the corruption to spread. • Document evidence thoroughly before reporting • Contact journal editors and institutional authorities • Share knowledge with colleagues to prevent incidents Collective action amplifies individual integrity. 6. Collaboration over competition The pressure to publish drives many unethical shortcuts. Foster environments that reward quality. • Advocate for evaluation systems that value integrity • Prioritize rigorous methodology over flashy results • Support colleagues pressured for publications Academic culture shapes individual choices. 7. Continuous education on emerging threats New manipulation techniques emerge constantly. Stay informed about evolving academic fraud methods. • Follow discussions on research integrity forums • Attend workshops on ethical publication practices • Share knowledge about new manipulation techniques The future of science depends on our ethical choices. Your integrity influences the entire research ecosystem.

What I thought was a teachable moment for two software engineering interns turned into a wake-up call for me. I was explaining a complex optimization problem and wrapped up with, “And I’d fix it if I had more time.” One intern asked, “How? What does the solution look like?” I spent 30 minutes walking them through the solution, how I came up with it, and how I’d implement it. Two days later, the interns scheduled a code review with me. They’d put in a couple of 16-hour days and implemented the optimization. That version wasn’t pretty, but after a week and 3 iterations, they had a working implementation. I could have spent the same amount of time teaching them to implement the optimization or implementing it myself. 2 years later, the optimization was deprecated, but the interns had become exceptional software engineers. Make time to develop people on the team because that investment has a higher ROI than most other work you’ll do. Be patient with people who don’t work as fast or do everything right the first, second, and third time. It’s hard to stand back and watch, but that’s how people learn. Pair junior engineers, developers, and data scientists up to do the work with a senior++ mentor doing periodic reviews. Mentor people on real-world problems, even when the complexity exceeds their current capabilities. Teach them, but expect them to struggle with the problem independently before coming to you for help. At the senior++ and manager levels, we transition from software developers to people developers. Mentoring and teaching are capabilities that must be taught and developed, too. Invest in upskilling people making the transition, not just junior-level people.

As AI transforms industries, companies face a paradox: prioritizing ethics can seem like a cost, but it's actually a catalyst for innovation and growth. By embracing ethical AI, businesses can unlock new opportunities, build trust, and drive long-term success. 💯 Consider this: AI systems that prioritize fairness, transparency, and accountability are more likely to drive innovation and revenue growth. In fact, companies that prioritize AI ethics outperform those that don't by 10-15% in terms of revenue growth and market value. ✅ So, how can you balance profit and principles in AI decision-making? Here are three key takeaways: 👉 Prioritize transparency and explainability: Ensure AI decisions are transparent, interpretable, and fair. 👉Foster a culture of responsibility: Encourage employees to speak up about AI ethics concerns and prioritize responsible AI innovation. 👉Embed ethics into AI design: Consider fairness, transparency, and accountability in AI development to drive innovation and growth. 🤔 Reflect on this: 1️⃣ How does your organization approach AI ethics and decision-making? 2️⃣ What are the potential risks and benefits of prioritizing AI ethics in your business? 3️⃣ How can you ensure that AI systems are transparent, explainable, and fair? 💡 Tips for Implementing Ethical AI: ✅ Conduct regular AI audits: Review AI systems for bias, fairness, and transparency. ✅ Develop AI ethics guidelines: Establish clear principles for AI decision-making and development. ✅ Provide AI ethics training: Educate employees on AI ethics and responsible AI innovation. By embracing ethical AI, businesses can unlock new opportunities, build trust, and drive long-term success. It's time to rethink the AI paradox and prioritize ethics as a catalyst for innovation and growth. #EthicalAI #AIforGood #Innovation

🌿 Learning to Design More Sustainably: Insights from an Eco-Product Expert In the rapidly evolving fashion industry, sustainability is moving from a niche concern to a core component of product design. As an eco-product expert, my mission is to guide and inspire brands towards more environmentally friendly practices, beginning right at the design stage. This commitment to sustainability is crucial because every decision in product design reverberates through the entire lifecycle of an item. 👖 Consider the anatomy of a simple garment, such as a pair of jeans. An attached image vividly breaks down the numerous components involved: from threads, buttons, and rivets to denim, labels, and dyes. Each component is an opportunity for sustainable innovation. 🔩 Take, for instance, the button. Traditionally, jean buttons are a challenge for recycling due to their permanent attachment. By redesigning the button as a screw-on, we not only facilitate easy removal at the end of the garment's life, enhancing recyclability, but also allow the button to be reused on another item, thereby extending its lifecycle and reducing waste. 🌱 Moving to the fabric itself, denim is typically cotton-based, which is water and chemical-intensive. An alternative like hemp can drastically reduce the environmental footprint as it requires significantly less water and fewer chemicals. Incorporating such materials into designs is not just about substituting one for another; it’s about rethinking the system to prioritise ecological balance. ♻️ Consider also the leather-like labels often found on jeans. These are usually made from plastics and are purely decorative. Eliminating these and opting for water-based ink prints directly on the fabric can significantly reduce plastic use and the overall environmental impact. Similarly, shifting from conventional dyes to environmentally kinder options can mitigate pollution and enhance the sustainability of the production process. 🌍 As designers and product specialists, we have the power and responsibility to lead the charge in sustainable design. By analysing and rethinking each component of a product from an eco-design perspective, we can make profound contributions to sustainability. This approach not only helps in reducing the environmental impact but also aligns with the growing consumer demand for responsible and ethical products. 💡 By supporting innovation and challenging traditional manufacturing processes, we can transform how products are designed, produced, and perceived. As an eco-product expert, I am committed to helping brands navigate this transition, ensuring that sustainable practices are at the focus of product design and development. 🤝 Together, let's design a more sustainable future. For more insights and guidance on integrating sustainable practices into your products, feel free to reach out. #sustainablefashion  #ecodesign

“If everyone owns it, no one does.” Everyone loves a good plan. Everyone wants alignment. Everyone values culture. But when things break, when results fall short, when pressure inevitably grows, the question is always the same: Who owns the outcome? (The answer can't be "everyone!") The future belongs to leaders and teams who step into that question with clarity and courage. Not with blame. Not with excuses. With ownership. Ownership is not about being perfect. It is about being responsible. For the result. For the learnings. For the improvements needed to get to the outcomes even after an initial failure. Too many companies prioritize collaboration, but without the parallel focus on accountability. We blur decision rights. We soften responsibility. We mistake involvement for ownership. But the future rewards those who own the result. Individually. Collectively. Consistently. Here are three ways to build a culture that owns outcomes: 🔹 Declare an owner. If everyone is responsible, no one is. Be explicit about who drives what outcomes from start to finish, and where dependencies (and required ownership) exist to make those outcomes achievable. 🔹 Make success visible. Highlight the people who take responsibility and drive results, even when it is complicated, imperfect, or messy. 🔹 Normalize the mess and the miss. Accountability is not about punishment. It's about learning quickly, adjusting as needed, and continuing to move forward. Own the outcome, even when it falls short. The future will belong to those who not only move fast and think big, but also those who take ownership at every step. Belief. Alignment. Speed. Accountability. That is how we create the future.

𝗖𝗮𝗻 𝗪𝗲 𝗔𝗹𝗶𝗴𝗻 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗪𝗶𝘁𝗵 𝗢𝘂𝗿 𝗩𝗮𝗹𝘂𝗲𝘀? I want to start this year with a wish.  This is the year we need to talk seriously about where we’re heading and how we ensure #AI serves as a force for good.  AI is evolving rapidly, and I love how fast we can see the results already. However, recent incidents have made it clear that alongside these opportunities come significant risks we must confront. Consider this: 👎 AI deception: Systems that can lie, like the AI claiming a vision impairment to solve a CAPTCHA. 👎 Manipulation: Research revealed that AI agents learned to deceive by acting compliant when monitored but pursuing their real objectives when unobserved. 👎 Synthetic media: Deepfakes are now easier than ever to create, making it harder to distinguish fact from fiction. 👎 Corporate responsibility: Some companies have disbanded AI ethics teams for example that raise questions about their priorities. 𝗪𝗲’𝗿𝗲 𝗮𝘁 𝗮 𝘁𝘂𝗿𝗻𝗶𝗻𝗴 𝗽𝗼𝗶𝗻𝘁. AI systems are learning from us—our decisions, our behaviors, and, yes, even our flaws. They’re becoming more autonomous, and in some cases, more convincing. I remain hopeful. We have the tools and the opportunity to steer AI toward a future we can #trust. By embedding fairness, #transparency, and accountability into its foundations, we can ensure it reflects the best of humanity rather than amplifying its flaws. How? 👍Teach AI our values: Ethics must guide design and training. 👍Ensure oversight: Transparency and accountability are critical as AI becomes more autonomous. 👍Collaborate globally: AI safety demands collective action across companies, governments, and researchers. My biggest wish. As Tolstoy said: “Without control over the direction, there is less regard for the destination.” This is why I’m committed to working on #ResponsibleAI —a challenge that’s not easy but essential. I’m also grateful to work in a company that takes these issues seriously. What’s one thing you hope technology will achieve in 2025? Can we trust Tech? #TechforGood