Our CEO and a founding member of our AI Ethics Council, Devavrat Shah, emphasizes a crucial concept in a recent Forbes article: governance is paramount for shaping responsible #AI development. Why does governance matter? 1️⃣ Governance frameworks provide a roadmap for achieving the balance between innovation and ethical considerations. 2️⃣ Clear guidelines and oversight through governance help build trust in AI which is essential for public acceptance and adoption. 3️⃣ Addressing potential biases and promoting inclusive practices through governance ensures that AI is developed and deployed in a way that benefits everyone. 📰 Read the full article here: https://bit.ly/4bT0K2B We're curious to hear the thoughts of the rest of the founding members of the AI Ethics Council - Kamal Ahluwalia, Munther Dahleh, Aram Gavoor, Michael Kearns, Michael Jordan.
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In case you missed it.... We published the "Lessons Learned from Assessing Trustworthy AI in Practice" in Digital Society (DSO), 2, 35 (2023). Springer Building artificial intelligence (AI) systems that adhere to ethical standards is a complex problem. Even though a multitude of guidelines for the design and development of such trustworthy AI systems exist, these guidelines focus on high-level and abstract requirements for AI systems, and it is often very difficult to assess if a specific system fulfills these requirements. The Z-Inspection® process provides a holistic and dynamic framework to evaluate the trustworthiness of specific AI systems at different stages of the AI lifecycle, including intended use, design, and development. It focuses, in particular, on the discussion and identification of ethical issues and tensions through the analysis of socio-technical scenarios and a requirement-based framework for ethical and trustworthy AI. This article is a methodological reflection on the Z-Inspection® process. We illustrate how high-level guidelines for ethical and trustworthy AI can be applied in practice and provide insights for both AI researchers and AI practitioners. We share the lessons learned from conducting a series of independent assessments to evaluate the trustworthiness of real-world AI systems, as well as key recommendations and practical suggestions on how to ensure a rigorous trustworthiness assessment throughout the lifecycle of an AI system. The results presented in this article are based on our assessments of AI systems in the healthcare sector and environmental monitoring, where we used the framework for trustworthy AI proposed in the Ethics Guidelines for Trustworthy AI by the European Commission’s High-Level Expert Group on AI. However, the assessment process and the lessons learned can be adapted to other domains and include additional frameworks. An extended version of this article is available in Zicari et al. (2022) https://lnkd.in/eJbxdFDN https://lnkd.in/ebRuk4NW #zinspection #trustworthyai #AI #artificialintelligence #ethics #ethicsinai #society #law Z-Inspection® Initiative and Trustworthy AI Labs European Commission
Lessons Learned from Assessing Trustworthy AI in Practice - Digital Society
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✨ New, on intricacies of ethics in AI! 🤖💡 Dive into John's thoughtful exploration of balancing innovation with ethical responsibility in AI deployment. Perfect for those passionate about the future of technology and its impact on the world. #ethicalAI
Crafting a Future with Ethical AI Deployment
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Summary: In 2023, the world witnessed significant advancements in the ethical use of AI, with various global initiatives and regulations taking center stage. From the formation of the Business Council for Ethics of AI by UNESCO to the introduction of the AI Bill of Rights in the US, and the proposal of Ethical AI by PM Narendra Modi, ethical considerations and regulatory frameworks for AI gained substantial momentum. Takeaway: The year 2023 marked a pivotal moment for the ethical governance of AI, as governments, international organizations, and influential leaders around the world united to ensure responsible and fair utilization of artificial intelligence. Hashtags: #AIethics #EthicalAI #AIregulation #ResponsibleAI #GlobalInitiatives #AIgovernance
Summary: In 2023, the world witnessed significant advancements in the ethical use of AI, with various global initiatives and regulations taking center stage. From the formation of the Business Council for Ethics of AI by UNESCO to the introduction of the AI Bill of Rights in the US, and the proposal of Ethical AI by PM Narendra Modi, ethical considerations and regulatory frameworks for AI gai...
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Thanks for sharing Rohit Jain this Forbes article! I am looking forward to updates on your work with AI experts, thought leaders and heads of state to define an ethical AI innovation framework. #AI #leadership #ethics
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My latest article, "AI Horizons: Intelligent Innovation & Ethical Progress" has been published in Forbes. In this piece, I delve into the intersection of AI, Innovation, and ethics, exploring how AI technologies are reshaping industries and societies while emphasizing the importance of responsible AI development as we frame laws and guard-rails across various governmental agencies. Read the full article here: https://lnkd.in/gX8e6mcD #CIO #AI #Innovation #Management #Futurism #EthicalAI #Government #Forbes #Technology
Council Post: AI Horizons: Intelligent Innovation & Ethical Progress
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🚀 Just Published: "Navigating the AI Ethical Maze: Balancing Innovation with Responsibility" on Medium! Hey LinkedIn Community! I'm thrilled to share my latest Medium article where I delve into the intricate and often under-discussed world of AI ethics. This isn't just about algorithms and datasets; it's about how we, as a society, navigate the thin line between groundbreaking AI innovations and the moral compass that should guide them. 🤔 In this article, I explore: The potential biases and discrimination challenges in AI The ever-blurring line between personalization and privacy invasion The impact of AI on job markets and what it means for future skills The complex ethics of autonomous decision-making by AI systems Whether you're a tech professional, an enthusiast, or just curious about the ethical implications of AI, this article aims to shed light on these critical issues and spark meaningful discussions. I invite you to read, reflect, and engage with the article. Let's contribute to a future where AI is not just smart but also ethically responsible! Read the full article here: https://lnkd.in/gETw3WvD #ArtificialIntelligence #EthicalAI #TechEthics #MachineLearning #AIForGood #MediumArticle #AI #aicommunity #aiapplications #aiadvancements #aichallenges #ethicalai #ethicsinai
Navigating the AI Ethical Maze: Balancing Innovation with Responsibility
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The Pillars of Responsible AI: Navigating Ethical Frameworks and Accountability in an AI-Driven World - In the rapidly evolving realm of modern technology, the concept of ‘Responsible AI’ has surfaced to address and mitigate the issues arising from AI hallucinations, misuse and malicious human intent. However, it has proven to be a multifaceted challenge, as it encompasses various critical elements, including bias, performance, and ethics. While quantifying performance and predicting outcomes might appear straightforward, addressing intricate matters like bias, changing regulations, and ethical considerations proves to be a more complex undertaking. The very definition of ethical AI is subjective, giving rise to crucial questions about who should have the authority to decide what constitutes Responsible […] - https://lnkd.in/eVN2NMBi
The Pillars of Responsible AI: Navigating Ethical Frameworks and Accountability in an AI-Driven World
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The Pillars of Responsible AI: Navigating Ethical Frameworks and Accountability in an AI-Driven World - In the rapidly evolving realm of modern technology, the concept of ‘Responsible AI’ has surfaced to address and mitigate the issues arising from AI hallucinations, misuse and malicious human intent. However, it has proven to be a multifaceted challenge, as it encompasses various critical elements, including bias, performance, and ethics. While quantifying performance and predicting outcomes might appear straightforward, addressing intricate matters like bias, changing regulations, and ethical considerations proves to be a more complex undertaking. The very definition of ethical AI is subjective, giving rise to crucial questions about who should have the authority to decide what constitutes Responsible […] - https://lnkd.in/eVN2NMBi
The Pillars of Responsible AI: Navigating Ethical Frameworks and Accountability in an AI-Driven World
https://www.unite.ai
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Extremely interesting and relevant content regarding the framework for Ethical AI. Highly recommended read. #ethics #artificialintelligence #chatgpt
Artificial intelligence has untold potential to transform society for the better. But with the development of AI moving at a significantly fast pace, many experts are concerned with the technology's potential to cause harm. The Ethics Centre’s Ethical by Design framework provides a series of principles that can be applied to the development and implementation of AI technology to ensure it adheres to essential ethical standards, bringing the most benefit to the most people. Read more: https://lnkd.in/gkbsK4YE #Ethics #AI #ArtificialIntelligence #Technology #Development #Risk #Frameworks #Society
A framework for ethical AI
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We published the Lessons Learned from Assessing Trustworthy AI in Practice. Dennis Vetter, Julia Amann, Frederick Bruneault, Megan Coffee, Boris Düdder, Alessio Gallucci, Thomas Krendl Gilbert, Thilo Hagendorff, Irmhild van Halem, Dr Eleanore Hickman, Elisabeth Hildt, Sune Holm, George Kararigas,Pedro Kringen, Vince Madai , Emilie Wiinblad Mathez, Jesmin Jahan Tithi, Ph.D , Magnus Westerlund, Renee Wurth, PhD, Roberto V. Zicari & Z-Inspection® initiative (2022) Digital Society (DSO), 2, 35 (2023). Springer Link: https://lnkd.in/ebRuk4NW Abstract Building artificial intelligence (AI) systems that adhere to ethical standards is a complex problem. Even though a multitude of guidelines for the design and development of such trustworthy AI systems exist, these guidelines focus on high-level and abstract requirements for AI systems, and it is often very difficult to assess if a specific system fulfills these requirements. The Z-Inspection® process provides a holistic and dynamic framework to evaluate the trustworthiness of specific AI systems at different stages of the AI lifecycle, including intended use, design, and development. It focuses, in particular, on the discussion and identification of ethical issues and tensions through the analysis of socio-technical scenarios and a requirement-based framework for ethical and trustworthy AI. This article is a methodological reflection on the Z-Inspection® process. We illustrate how high-level guidelines for ethical and trustworthy AI can be applied in practice and provide insights for both AI researchers and AI practitioners. We share the lessons learned from conducting a series of independent assessments to evaluate the trustworthiness of real-world AI systems, as well as key recommendations and practical suggestions on how to ensure a rigorous trustworthiness assessment throughout the lifecycle of an AI system. The results presented in this article are based on our assessments of AI systems in the healthcare sector and environmental monitoring, where we used the framework for trustworthy AI proposed in the Ethics Guidelines for Trustworthy AI by the European Commission’s High-Level Expert Group on AI. However, the assessment process and the lessons learned can be adapted to other domains and include additional frameworks. An extended version of this article is available in Zicari et al. (2022): https://lnkd.in/eJbxdFDN #zinspection #trustworthyai #AI #articialintelligence #ethics #ethicsinai #ethicsintech #society #responsibleai #airegulation #aiapplications #aicertification #ailaw #research #bestpractices #healthcare Rijks ICT Gilde Z-Inspection® Initiative and Trustworthy AI Labs Willy Tadema Marjolein Boonstra ✔︎ gerard kema Gérald Santucci
Lessons Learned from Assessing Trustworthy AI in Practice - Digital Society
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🌐 Explores the pivotal role of #ethics and #innovation in the AI landscape in the latest iTWire article by Lourens Swanepoel.💡🚀 Did you know that Australia leads global #AI adoption, with 76% of businesses embracing daily use? Learn how it transforms industries 🤖 https://lnkd.in/d_UxicYA #AIInnovation #EthicalAI #AvanadeInsights #AvanadeDoWhatMatters
iTWire - The future of AI is guided by ethics and innovation
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