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Responsible AI: Part -3 of 3

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  In this final part of the series, we’ll delve into tools and frameworks related to artificial intelligence (AI). We’ll explore Responsible AI use cases across different industries. Let’s begin! 🌟 Tools and Frameworks The following tools and frameworks can help organizations ensure that AI systems are fair, transparent, and accountable: IBM AI OpenScale  is an open source platform that provides transparency and accountability in AI systems. It helps monitor, understand, and manage the performance of AI models in production. AI Fairness 360 (AIF360) is an open source toolkit that provides a comprehensive set of metrics and algorithms to help identify and address bias in AI systems. What-If Tool  is an open source platform that allows you to interactively analyze and understand the behavior of ML models. Oracle Cloud Infrastructure (OCI)  Data Science is a fully managed platform that teams of data scientists can use to build, train, deploy, and manage ML models by using Python and open

Am I a Glasshole? No! How My Meta Ray-Ban Smart Sunglasses Became My Memory Keeper

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  Let’s face it, smartphones are so last decade! At least that’s what I thought when I gleefully swapped my phone’s camera for the latest gadget on my face — the Meta Ray-Ban smart sunglasses. Yes, you heard it right: my sunglasses are smarter than some of the folks popping up on my social media feeds. And they’ve completely changed the way I capture life’s precious, and not-so-precious, moments! As an early adopter of almost every eyewear gadget, from the clunky Google Glass (which made me look like a lost cyborg tourist) to the chic Ray-Ban Stories, I’ve always been on the lookout for tech that lets me live out my sci-fi fantasies. The Meta Ray-Ban sunglasses, currently, are the pinnacle of my “living in the future” lifestyle. Remember the days of fumbling to unlock your phone while your ice cream melted faster than your will to live in the summer heat? Well, those days are gone! Now, with a suave tap on my Ray-Ban’s frame, I can start recording the tragic demise of my double scoop o

Responsible AI: Part -2 of 3

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  A Practioner’s Guide to Ethical Considerations in AI Development and Deployment Continuing from part 1… starting with… Who should be responsible for the development and Maintenance of Responsible AI? The development and deployment of AI technology have the potential to greatly impact society and the economy, making it a topic of significant debate and discussion. One important question is whether the responsible development of AI should be the responsibility of engineers, including the product owners, or governed by policy and governance. Some argue that the responsibility for ensuring the responsible development of AI should fall primarily on the shoulders of engineers. These individuals design and build AI systems, and so they have the expertise and knowledge necessary to ensure that these systems are developed in a safe and ethical manner. They can use their knowledge of AI and its capabilities to design systems that avoid bias, protect user privacy, and prevent misuse. Along with