Tim Creasey’s Post

🤔 Have you ever wondered how AI systems make decisions? 🤖 Well, with the increasing complexity of AI, there's a growing demand for transparency and interpretability. That's where Explainable AI (XAI) comes into play! 🌟 XAI is all about making AI models more understandable and explainable to us humans. It's like having a translator between the complex world of AI algorithms and our human minds. 🧠💡 By embracing XAI, we can trust and comprehend the decisions made by AI systems. It's like having a peek behind the curtain to see how the magic happens! ✨🎩 But how does XAI actually work? 🤔 Let me break it down for you: 1️⃣ Summarization: XAI takes those lengthy AI models and distills them into bite-sized chunks of information. It's like summarizing a whole book into a single page! 📚➡️📄 2️⃣ Interpretability: XAI helps us understand why AI systems make certain decisions. It's like having a conversation with AI and asking, "Hey, why did you choose that option?" 🗣️🤷♀️ 3️⃣ Trustworthiness: XAI builds trust by showing us the logic behind AI decisions. It's like having a trustworthy friend who explains their reasoning before giving advice. 🤝💭 Now, you might be thinking, "Why do we even need XAI?" Well, my friend, imagine relying on an AI system without any explanation. It's like blindly following a GPS navigation system that leads you to a dead-end road! 🚫🛣️ With XAI, we can avoid such situations and ensure that AI systems are not just black boxes. We deserve to know why AI recommends a particular product, suggests a course of action, or makes any other decision that affects us. 📦❓ Let's demystify the world of AI and ensure that we're not left scratching our heads when faced with AI-driven decisions. 🤔💪 #ajayprabhakar #ExplainableAI #TransparencyMatters #DemystifyingAI #TrustTheProcess

🤔 Have you ever wondered how AI systems make decisions? 🤖 Well, with the increasing complexity of AI, there's a growing demand for transparency and interpretability. That's where Explainable AI (XAI) comes into play! 🌟 XAI is all about making AI models more understandable and explainable to us humans. It's like having a translator between the complex world of AI algorithms and our human minds. 🧠💡 By embracing XAI, we can trust and comprehend the decisions made by AI systems. It's like having a peek behind the curtain to see how the magic happens! ✨🎩 But how does XAI actually work? 🤔 Let me break it down for you: 1️⃣ Summarization: XAI takes those lengthy AI models and distills them into bite-sized chunks of information. It's like summarizing a whole book into a single page! 📚➡️📄 2️⃣ Interpretability: XAI helps us understand why AI systems make certain decisions. It's like having a conversation with AI and asking, "Hey, why did you choose that option?" 🗣️🤷♀️ 3️⃣ Trustworthiness: XAI builds trust by showing us the logic behind AI decisions. It's like having a trustworthy friend who explains their reasoning before giving advice. 🤝💭 Now, you might be thinking, "Why do we even need XAI?" Well, my friend, imagine relying on an AI system without any explanation. It's like blindly following a GPS navigation system that leads you to a dead-end road! 🚫🛣️ With XAI, we can avoid such situations and ensure that AI systems are not just black boxes. We deserve to know why AI recommends a particular product, suggests a course of action, or makes any other decision that affects us. 📦❓ Let's demystify the world of AI and ensure that we're not left scratching our heads when faced with AI-driven decisions. 🤔💪 #ajayprabhakar #ExplainableAI #TransparencyMatters #DemystifyingAI #TrustTheProcess

🤔 Have you ever wondered how AI systems make decisions? 🤖 Well, with the increasing complexity of AI, there's a growing demand for transparency and interpretability. That's where Explainable AI (XAI) comes into play! 🌟 XAI is all about making AI models more understandable and explainable to us humans. It's like having a translator between the complex world of AI algorithms and our human minds. 🧠💡 By embracing XAI, we can trust and comprehend the decisions made by AI systems. It's like having a peek behind the curtain to see how the magic happens! ✨🎩 But how does XAI actually work? 🤔 Let me break it down for you: 1️⃣ Summarization: XAI takes those lengthy AI models and distills them into bite-sized chunks of information. It's like summarizing a whole book into a single page! 📚➡️📄 2️⃣ Interpretability: XAI helps us understand why AI systems make certain decisions. It's like having a conversation with AI and asking, "Hey, why did you choose that option?" 🗣️🤷♀️ 3️⃣ Trustworthiness: XAI builds trust by showing us the logic behind AI decisions. It's like having a trustworthy friend who explains their reasoning before giving advice. 🤝💭 Now, you might be thinking, "Why do we even need XAI?" Well, my friend, imagine relying on an AI system without any explanation. It's like blindly following a GPS navigation system that leads you to a dead-end road! 🚫🛣️ With XAI, we can avoid such situations and ensure that AI systems are not just black boxes. We deserve to know why AI recommends a particular product, suggests a course of action, or makes any other decision that affects us. 📦❓ Let's demystify the world of AI and ensure that we're not left scratching our heads when faced with AI-driven decisions. 🤔💪 #ajayprabhakar #ExplainableAI #TransparencyMatters #DemystifyingAI #TrustTheProcess

I recently came across a statement that made me pause and reflect: 'AI is just a tool to deliver more value to your users to help solve their problems.' This got me thinking: Is AI really just a tool? What do we mean when we say 'tool'? I've noticed this term being used frequently in discussions about AI, which makes me wonder if we all have a shared understanding of what AI truly is. The term 'tool' seems to imply something that is used to accomplish a specific task or purpose. But I can't help but feel that AI transcends this definition. AI has the capability to learn, adapt, and even make decisions, attributes that seem to extend beyond the realm of a simple tool. It's not just about delivering value or solving problems, but about how AI can redefine the way we perceive and interact with technology. I'd love to hear your thoughts on this. Do you consider AI as merely a tool, or do you see it as something more? Comment below 👇 and let's discuss! #aixagile #aithoughts #aiagileguy #curious

🌟 The Judgment of Generative AI: What You Need to Know 🌟 Ever wondered how much judgment a generative AI tool really has? 🤔 Let's break it down! Generative AI, like chatbots and image creators, is incredibly powerful, but it doesn’t have judgment in the way we do. Here’s why: 1. **No Emotions or Consciousness**: AI lacks feelings, beliefs, and personal experiences. It doesn’t "think" or "feel" – it simply processes data. 2. **Data-Driven**: The quality of AI outputs depends on the data it’s trained on. Well-curated data leads to better results, while biased data can produce skewed responses. 3. **Contextual Awareness**: AI can recognize patterns and context, allowing it to generate relevant responses. But remember, it’s all about pattern recognition, not true understanding. 4. **Limitations**: AI can reflect biases from its training data, which means it might produce outputs that are unexpected or inappropriate. 5. **User Responsibility**: Ultimately, it’s up to us to interpret and act on AI-generated content. Always apply your own judgment and critical thinking! In a world where AI is becoming more integrated into our daily lives, understanding its capabilities and limitations is key. Let’s harness this technology wisely! 💡✨ #AI #GenerativeAI #Technology #Innovation #CriticalThinking

🤔 Have you ever wondered how AI systems make decisions? 🤖 Well, with the increasing complexity of AI, there's a growing demand for transparency and interpretability. That's where Explainable AI (XAI) comes into play! 🌟 XAI is all about making AI models more understandable and explainable to us humans. It's like having a translator between the complex world of AI algorithms and our human minds. 🧠💡 By embracing XAI, we can trust and comprehend the decisions made by AI systems. It's like having a peek behind the curtain to see how the magic happens! ✨🎩 But how does XAI actually work? 🤔 Let me break it down for you: 1️⃣ Summarization: XAI takes those lengthy AI models and distills them into bite-sized chunks of information. It's like summarizing a whole book into a single page! 📚➡️📄 2️⃣ Interpretability: XAI helps us understand why AI systems make certain decisions. It's like having a conversation with AI and asking, "Hey, why did you choose that option?" 🗣️🤷♀️ 3️⃣ Trustworthiness: XAI builds trust by showing us the logic behind AI decisions. It's like having a trustworthy friend who explains their reasoning before giving advice. 🤝💭 Now, you might be thinking, "Why do we even need XAI?" Well, my friend, imagine relying on an AI system without any explanation. It's like blindly following a GPS navigation system that leads you to a dead-end road! 🚫🛣️ With XAI, we can avoid such situations and ensure that AI systems are not just black boxes. We deserve to know why AI recommends a particular product, suggests a course of action, or makes any other decision that affects us. 📦❓ Let's demystify the world of AI and ensure that we're not left scratching our heads when faced with AI-driven decisions. 🤔💪 #ajayprabhakar #ExplainableAI #TransparencyMatters #DemystifyingAI #TrustTheProcess

Want to break through the buzz surrounding AI? 28Stone has the people who are already putting the power behind AI and we’re not slowing down. We’re taking a look at the real conversations leading our industry and the advancements coming to life in 2024. Where we could see artificial intelligence take us next? Find out in our latest blog by enagagement manager Venu Bolisetty: https://lnkd.in/gkZv--SX #ai #aiadoption #capitalmarkets #artificialintelligence #finance

My colleague Venu Bolisetty shared his thoughts about AI in capital markets. Read about what 28Stone has heard from customers and what we've been working on in the AI space. #ai #fintech #capitalmarkets

Generative AI is changing consumer expectations, and companies must be ready to adapt. In our recent article, we explore why in order to better understand the potential of gen AI and the impact it will have on businesses, we need to start by understanding how it impacts humans. After all, a business is a system of organizing humans to turn input into output > https://owy.mn/3Wye5bA #OWForum #GenerativeAI

"Can Generative AI be creative?" "Can Generative AI do strategy?" These questions - accompanied by long articles that barely considered the existence of humans - just appeared next to each other on my feed. Questions like this worry me. A lot!! Why aren't we asking: "How can generative AI help humans to be even more creative?" "How can generative AI help humans to do strategy better/faster/with more data/insights?" Not only does this kind of reframe give us back some human agency, it's also how I've personally found AI tools most effective. Expect them to just do stuff for you, and the results are pretty mediocre. Work alongside AI tools, and it's a game changer. It's also why at AIConfident we're committed to helping leaders to take a human-centric approach when considering the AI opportunities and risks for their organisation. If we want an AI future where we retain human agency, then we really need to challenge these narratives, and demonstrate how we value the role of humans! #aifuture #generativeai #humancentric