Paige Lord’s Post

🧐 How ethical is your AI? Ethics in Artificial Intelligence (AI) is more than a buzzword—it's a critical component in shaping the future of technology. With AI increasingly influencing decisions in healthcare, finance, and even criminal justice, ethical considerations are imperative to ensure fairness, accountability, and transparency. Did you know that biases in AI can lead to unfair outcomes, affecting underserved communities disproportionately? It's essential to involve diverse teams in AI development and enforce strict ethical guidelines. 🌟 Want to dive deeper? I highly recommend the book "Weapons of Math Destruction" by Cathy O'Neil. It offers a compelling look at the real-world impact of biased algorithms. How do you ensure ethical practices in your AI projects? Let's discuss! 🤔 #EthicsInAI #ArtificialIntelligence #TechForGood

🌟 Join the upcoming Webinar: Demystifying the EU AI Act 🌟 Are you passionate about the future of AI and its ethical implications? Want to dive deep into the intricacies of the EU AI Act while discovering how to thrive 🚀 🚀 as an AI Ethicist? Join us for an exclusive webinar where we will explore the groundbreaking EU AI Act and its significance for AI regulation. But wait!! That's not all – we'll also delve into the world of AI Ethics and how you can carve out a fulfilling career as an AI Ethicist. 🚀 Here's what you can expect from the webinar: 🌟 Demystifying the EU AI Act: Gain a comprehensive understanding of the EU's proactive stance on regulating AI and its global impact. 🌟 Thriving as an AI Ethicist: Discover the essential skill sets required to thrive in the field of AI Ethics. 🌟 Explore the core values and principles that underpin Ethical AI Development. 👉Reserve your spot now for the webinar. Register using the below link: 👉https://lnkd.in/gcyAdPFN Date: 12-APR-24 Time: 8:30 pm IST #EUAIACT #aiethics #responsibleai #ethicalai #fairness #biasinai #airegulation

We're hoping that these ASA guides on ethical and equitable AI can find an audience of people who might be interested in using AI for their own work, but want to do it fairly and responsibly. But I'm also finding that these have been useful for me in an unexpected way, in that it's forcing me to distill years' worth of work onto two pages, which is a lot harder than I thought! This use case is on predicting student success using machine learning, which is something that I started working on in earnest back in 2018 with our first contract with a very large college. It then migrated to another large institution, where Nathan Greenstein, Grant Crider-Phillips, and I were very much in the weeds with not only data and technical specifications - but how to get people's buy-in, understand their own needs and concerns, navigate an ever-changing political landscape, and ultimately implement a predictive model that was beneficial to students and didn't perpetuate biases. It was a three-year undertaking, and our biggest takeaways are whittled down to two pages, here. Enjoy!

AI Ethics: Officials Discuss Paths to Safe, Purpose-Driven AI As the use of artificial intelligence technologies continues to grow, Federal and industry officials explained on Tuesday the importance of industry-led regulation development, workforce training, and creating limited-purpose AI applications as three ways to further the cause of making sure that AI tech is used safely and responsibly. https://lnkd.in/eBA4PfEg

🌟The Philosophy and Ethics of AI🌟 One of the most informative classes I have attended this semester is Introduction to AI. It is not all about algorithms or programming; it is all about understanding what lies beneath questions, like what intelligence really means, and how we can ensure that technology serves humanity in the right way. We have discussed interesting debates such as #TuringsTest, which states, "Can machines think?"; and Searle's #ChineseRoom argument, which questions whether AI really can "understand." The discussions made me conscious of how the area of artificial intelligence relates to philosophy and computer science. We also looked at the #EUAIAct -the audacious effort to regulate AI for safety, fairness, and transparency. Saliently, this Act demands human oversight and prohibits uses that are harmful, such as real-time biometric identification in public spaces. In its wake, however, it brings a host of problems: > Overregulation: Some comment that it may kill innovation-especially for startups and smaller companies-since compliance could be expensive and entail a great deal of time. > Unclear boundaries: Identifying what constitutes "high-risk AI" can be arbitrary and may result in a non-uniform implementation across sectors. > Global competition: Stringent European regulations might make companies less competitive compared to countries with lax regulations, such as the US or China. Some of the deeper questions that this has raised for me include: How do we balance innovation with ethical responsibility? Can regulations keep pace with the rapid strides in AI development? What role do governments and businesses need to take in building this AI future? This definitely goes past making smart systems-smart to making thoughtful, jointly taken decisions on ways through which the technology could be used responsibly. #ArtificialIntelligence #AI #Ethics #Philosophy #Innovation #EUAIAct #ResponsibleAI

🚀 Excited to Share My Latest blog post!: "AI Ethics and Bias Mitigation: Ensuring Fair and Responsible AI Development" 🌍🤖 In today’s rapidly advancing tech landscape, it’s crucial that AI systems are developed with fairness, transparency, and responsibility in mind. My recent project delves into: Addressing biases in AI models and understanding their impacts Exploring strategies for ethical AI practices Proposing guidelines to foster responsible AI innovation As we move towards a more AI-driven future, creating inclusive and fair algorithms is not just a goal it’s a necessity. Join me on this journey toward responsible AI development! #AIEthics #ResponsibleAI #FairAI #TechForGood #BiasMitigation

Excited to explore The Ethical Dilemmas of AI: Balancing Innovation with Responsibility! 🌐🤖 As AI transforms industries, it's vital to ponder the ethics behind these advancements. How do we ensure responsible innovation? Here's how: Transparency: Let's unveil AI algorithms for better understanding and to combat bias. #TransparentAI #CombatBias Privacy: Respect user privacy with strong data protection and explicit consent. #PrivacyFirst #DataProtection Accountability: Hold developers responsible for AI outcomes, fostering trust. #AccountabilityMatters #TrustInTech Fairness: Address biases for equitable AI applications. #FairAI #EquityInTech Continued Learning: Stay educated on AI ethics for ethical practices. #EthicalEducation #StayInformed Join the conversation! Share your thoughts on AI ethics and responsible navigation below. Together, let's shape an ethical AI future! 🤔💡 #AIethics #DeepLearning #ResponsibleInnovation #ProfessionalDevelopment #TechEthics

Mitigating Deepfake Risks through AI Governance Addressing the concern of deepfakes is crucial as we navigate the complexities of AI. AI governance is key in preventing malicious use and promoting responsible AI development. Key measures: - Develop and implement standards - Regulate AI-generated content - Ensure transparency and explainability - Monitor and audit AI systems - Encourage responsible AI development - Provide education and training - Foster international cooperation Benefits: - Prevents malicious use - Builds trust - Promotes accountability - Fosters innovation Frameworks: - OECD AI Principles - EU AI Ethics Guidelines - IEEE AI Ethics Let's collaborate to establish a robust AI governance framework to ensure AI serves the betterment of society. Share your thoughts and let's connect! #AIGovernance #DeepfakePrevention #ResponsibleAI

AI Ethics: Officials Discuss Paths to Safe, Purpose-Driven AI As the use of artificial intelligence technologies continues to grow, Federal and industry officials explained on Tuesday the importance of industry-led regulation development, workforce training, and creating limited-purpose AI applications as three ways to further the cause of making sure that AI tech is used safely and responsibly. https://lnkd.in/dgETWdQ4