Understanding Explainability and Interpretability in AI We're continuing our Geotab series on Responsible AI by diving into the crucial themes of explainability and interpretability in AI with François-Xavier Jeannet. Curious about the "how" and "why" behind AI decisions? This blog unpacks the implications of Generative AI (Gen AI), featuring insights from our recent work, including the launch of Geotab Ace. In today's fast-paced world, AI influences everything from healthcare to finance, but how do we ensure these systems are fair, transparent, and understandable? Discover the importance of: ▪️ Trust & Accountability: Building confidence in AI systems through clearer decision-making. ▪️ Ethical Decision-Making: Identifying & addressing biases for fairer outcomes. ▪️ Regulatory Compliance: Navigating laws & maintaining AI governance. ▪️ Improved User Experience: Enhancing interactions with transparent AI. 🔗 Read more here: https://ow.ly/tNX850TfRW1
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Everywhere we turn today, we're hearing about AI. Here's a concise set of definitions for the most common terms you'll encounter.
Feeling the heat to integrate AI into your organization? 🔥 One major obstacle for teams is the lack of understanding when it comes to generative AI. Even if your organization has AI models in place, utilizing AI without proper governance or visibility and control over the underlying data can result in model bias, inaccuracies, and legal and ethical concerns, leading to trust issues and more. To help you navigate the world of AI and AI governance, we've compiled a list of key words, terms, and phrases. Share this resource with your team members who are eager to enhance their comprehension of AI! Ready to take the next step? https://lnkd.in/g_7bVzsG
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Feeling the heat to integrate AI into your organization? 🔥 One major obstacle for teams is the lack of understanding when it comes to generative AI. Even if your organization has AI models in place, utilizing AI without proper governance or visibility and control over the underlying data can result in model bias, inaccuracies, and legal and ethical concerns, leading to trust issues and more. To help you navigate the world of AI and AI governance, we've compiled a list of key words, terms, and phrases. Share this resource with your team members who are eager to enhance their comprehension of AI! Ready to take the next step? https://lnkd.in/g_7bVzsG #dataprivacy #ai #organization #governance
Feeling the heat to integrate AI into your organization? 🔥 One major obstacle for teams is the lack of understanding when it comes to generative AI. Even if your organization has AI models in place, utilizing AI without proper governance or visibility and control over the underlying data can result in model bias, inaccuracies, and legal and ethical concerns, leading to trust issues and more. To help you navigate the world of AI and AI governance, we've compiled a list of key words, terms, and phrases. Share this resource with your team members who are eager to enhance their comprehension of AI! Ready to take the next step? https://lnkd.in/g_7bVzsG
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Is your organisation setting up AI Governance? Ensure a solid foundation by making new AI Governance terms common language within your organisation. The Collibra post below describes the most important keywords you need to know. Download the paper below and share it with your colleagues! Could your organisation use some help with laying the foundation for AI Governance. We are happy to help you implement AI Governance and share our hands-on experience in deriving maximum value out of this 👉 https://lnkd.in/ekRuA6kh #aigovernance #trustedai #dataintelligence
Feeling the heat to integrate AI into your organization? 🔥 One major obstacle for teams is the lack of understanding when it comes to generative AI. Even if your organization has AI models in place, utilizing AI without proper governance or visibility and control over the underlying data can result in model bias, inaccuracies, and legal and ethical concerns, leading to trust issues and more. To help you navigate the world of AI and AI governance, we've compiled a list of key words, terms, and phrases. Share this resource with your team members who are eager to enhance their comprehension of AI! Ready to take the next step? https://lnkd.in/g_7bVzsG
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Feeling the heat to integrate AI into your organization? 🔥 One major obstacle for teams is the lack of understanding when it comes to generative AI. Even if your organization has AI models in place, utilizing AI without proper governance or visibility and control over the underlying data can result in model bias, inaccuracies, and legal and ethical concerns, leading to trust issues and more. To help you navigate the world of AI and AI governance, we've compiled a list of key words, terms, and phrases. Share this resource with your team members who are eager to enhance their comprehension of AI! Ready to take the next step? https://lnkd.in/g_7bVzsG
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Let's stop presenting AI as if it could solve all problems, this only creates more disappointment, especially at the industrial level where the problems are much more complicated than expected. Often, the high number of parameters, the lack of data, and the complexity of the phenomenon create real limitations for AI. The selection of the most influential parameters is in itself a big challenge. At the slightest deviation, the accuracy of the model will be impacted. On the industrial side, high precision is the final judge for an AI solution or another more traditional one, a trade-off is generally not sufficient. Despite the power of AI, to which generative AI adds another great force, we remain very far from covering the majority of applications in our world. There is still a long way to go and we would do better to moderate our promises!
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AI: Powerful Tool or Bias Amplifier? 🤖🧠 During our recent webinar "Beyond the Algorithm: Exploring the Pitfalls and Transformative Possibilities of AI," Joe Perez ("Dr. Joe") shed light on a critical challenge facing the AI industry: the potential loss of objectivity in AI systems. Despite their efficiency in processing vast amounts of data, AI systems are fundamentally shaped by the data they're trained on. Without careful monitoring and diverse, representative datasets, the impact of AI-driven systems could perpetuate systemic inequalities, particularly in critical areas like hiring, lending, and law enforcement. 🎥 Want to dive deeper into this topic? Watch the full webinar here: https://lnkd.in/d2HGqieZ 📊 Exciting news! Parts of this insightful interview will be featured in our upcoming market study, "AI and the Future of Work," releasing this Thursday, September 26. https://lnkd.in/g6AsssxH #ArtificialIntelligence #AIEthics #TechInclusion #FutureOfWork
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Certified Distinguished Data Scientist, Speaker, AI/ML, AIoT, IoT, Knowledge Graph, GenAI, NLP, Speaker, Mentor
Generative AI and LLMs are fundamentally important advancements in AI. But I'm concerned that too many people are leaping too fast into questionable LLM use cases. They have Irrational Exuberance, which "is unfounded market optimism that lacks a real foundation of fundamental valuation, but instead rests on psychological factors.” #AI #GenAI #LLM https://lnkd.in/e5gUYQ99
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Managing Director and Co-founder at Progress Consulting PLC| Consultant | Assistant Professor of Philosophy | Trainer | Learning & Development
The following quote touches on a contemporary sentiment about the role of artificial intelligence in our daily lives. Joanna Maciejewska, the author quoted here, highlights a pragmatic view of AI: it should serve to unburden us from mundane tasks like laundry and dishes, freeing up time for creative and intellectual pursuits. This perspective opens up an interesting discussion on how we prioritize our time and the tasks we delegate to technology. It's about leveraging AI to enhance our human experiences rather than substituting them. This idea also subtly challenges the notion of AI as merely a tool for enhancing productivity in conventional ways, suggesting instead that it can enhance quality of life by creating space for more meaningful activities.
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Assistant Professor | Experienced Machine Learning Specialist | Journal Editor & Peer Reviewer | Research Scholar, M.Tech, B.Tech "Gold Medallist" | Certified Python, AI/ML Expert | Patentee | Published Author of 2 Books
🎉 Exciting News! 📚 Our research paper, "Transparency in AI Decision Making: A Survey of Explainable AI Methods and Applications" has been accepted for publication in the esteemed American Journal! 🌟 🤖 In an era where AI plays an increasingly pivotal role across various domains, understanding the mechanisms behind AI decision-making is paramount. Our paper delves into the realm of Explainable AI (XAI) methods, shedding light on the transparency and interpretability of AI systems. 🔍 Through comprehensive research and analysis, we explore the landscape of XAI techniques, offering insights into their applications and implications across industries. From healthcare to finance, our survey encompasses diverse sectors where transparent AI decision-making is crucial. 📊 Our findings not only contribute to the advancement of AI research but also pave the way for ethical AI deployment and regulatory frameworks. By fostering transparency, we aim to instill trust and accountability in AI systems, ensuring they serve society's best interests. 🌐 Stay tuned for the official publication announcement and join us in the journey towards a more transparent and explainable AI future! 🚀 #AI #Transparency #ExplainableAI #ResearchPublication #AmericanJournal #EthicalAI
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Senior Data Scientist | Applied AI, Trustworthy and Responsible AI, AI Governance and Policy | Winner of VentureBeat Women in AI Awards 2022
Here are two questions for you all: 1. Have you ever wondered about the AI Alignment Problem? 2. Are you curious about the uncertainties and potential solutions that exist within this critical field? I've delved into these questions recently, and my latest blog "Unpacking AI Alignment: Uncertainties and Solutions" offers insights into the complexities of aligning AI with human values and intentions. In it, I explore the nuanced challenges and innovative strategies that could shape the future of AI development and governance. From technical hurdles to ethical considerations, this blog aims to foster a deeper understanding and spark meaningful discussions. Check out the blog and let me know if you know of other approaches or potential solutions. #AISafety #ArtificialIntelligence #AIEthics
Unpacking AI Alignment: Uncertainties and Solutions
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