Tim Strachan’s Post

Delving into Prof. Hernan Huwyler's insightful presentation on AI Impact Assessment (ISO 42005 Draft), we uncover the crucial balance between harnessing AI's potential and addressing its societal, ethical, and environmental impacts. The framework guides us through navigating AI's transformative journey responsibly, from dual assessments focusing on preventing deviations and adverse impacts to embracing Responsible AI Principles for accountability, transparency, fairness, and more. Let's commit to informed, ethical AI development that advances technology while safeguarding our collective future. #AIethics #ResponsibleAI #IEExecutiveEducation #GovernanceRiskControls

Ensure Ethical AI Foster a culture of fairness and transparency in AI applications through a comprehensive exploration of strategies and methodologies. From advanced bias detection algorithms to the implementation of explainable AI techniques, discover innovative approaches to uphold ethical standards throughout the AI lifecycle. Gain insights from industry experts and thought leaders on navigating ethical dilemmas and ensuring accountability in AI-driven decision-making processes. By prioritizing ethical considerations, organizations can build trust with customers, stakeholders, and society at large, driving sustainable AI adoption and positive societal impact. Contact us today and let's embark on a journey of digital transformation together! #AI #DigitalTransformation #Innovation #Business #Nigeria #TechRevolution #EthicalAI #FairAI #ResponsibleAI

Analysing AI Innovation: Balancing Progress with Ethical Implementation In analysing the current trajectory of AI innovation discussed in the recent article, it’s imperative to confront a disconcerting truth: we are championing ‘progress’ while simultaneously risking a deluge of poorly conceived implementations. The rush to integrate AI across various sectors often overlooks foundational understandings of ethics and transparency. This trend raises a profound question: Are we truly harnessing the transformative power of AI or merely replicating human errors at an unprecedented scale? Moreover, let's challenge the prevailing narrative that faster is always better. The excitement surrounding rapid AI advancement frequently clouds our judgement, leading organisations to prioritise speed over thoughtfulness. If we don't temper this appetite for immediacy, we risk building systems that are not just malfunctioning—but also fundamentally misaligned with societal needs. A collective pause to reflect on purposeful application might just be the antidote to our hasted embrace of technology. #AIethics #TechResponsibility #InnovationChallenge Link to original: https://lnkd.in/e6fVYiFa

Mihir Nigam's latest article on LegAlVerse delves into OECD AI Principle 1.2, which emphasizes non-discrimination throughout the AI lifecycle. Explore how biases can infiltrate AI systems and why AI Principle 1.2 is vital for ensuring fairness in AI governance. Read now on LegAlVerse, and understand the critical mechanisms for achieving equitable AI development. #ArtificialIntelligence #AIRegulation #EULaw #AIGovernance #NonDiscrimination #OECD #AIPrinciples #TechEthics #AIEquity #LegalTech

In an era where AI has become a prominent topic, its implications are often discussed without sufficient clarity and substance. My latest article, in this regard, aims to provide an in-depth analysis of how AI systems can inadvertently or systematically perpetuate discrimination. Building on the influential 2016 paper by Solon Barocas and Andrew D. Selbst, this piece explores the various ways biases can infiltrate in an AI system, including detailed examples within the Indian context and societal structure. This article aims to offer an understanding of these critical issues, shedding light on the implications for AI governance and the need for robust measures to address bias. Read the full article on LegAlVerse and feel free to share any feedback or comments. #ArtificialIntelligence #AIDiscrimination #TechEthics #BiasInAI #AIRegulation #AIInsights #DataEthics #MachineLearning

AI alignment vs AI ethical treatment: Ten challenges, by Adam Bradley and Bradford Saad, has been added to our Working Paper Series: https://lnkd.in/eVCuQCfW Abstract: A morally acceptable course of AI development should avoid two dangers: creating unaligned AI systems that pose a threat to humanity and mistreating AI systems that merit moral consideration in their own right. This paper argues these two dangers interact and that if we create AI systems that merit moral consideration, simultaneously avoiding both of these dangers would be extremely challenging. While our argument is straightforward and supported by a wide range of pretheoretical moral judgments, it has far-reaching moral implications for AI development. Although the most obvious way to avoid the tension between alignment and ethical treatment would be to avoid creating AI systems that merit moral consideration, this option may be unrealistic and is perhaps fleeting. So, we conclude by offering some suggestions for other ways of mitigating mistreatment risks associated with alignment.

With the rising prominence of generative AI, organizations prioritize ethics and compliance. Strategies involve discussing who will utilize the technology, how data will be used with generative AI, and how to best abide by applicable rules and regulations. #AIEthics #GenAI #HRTech

🤖 Recognizing that there are many important voices and more experienced individuals in the AI field, a thought-provoking conversation with a wonderful leader, Benoit Guyamier, left me compelled to offer my perspective on envisioning ethical AI guidelines. This article reflects my understanding and vision for responsible AI development. 🔍 The piece presents guidelines, actionable examples, and plans, emphasizing ethical principles and public engagement in AI. 🌐 While there’s a wealth of expertise out there, I believe everyone’s insights are crucial in shaping AI’s future. So here are my two cents. 📖 Read and let’s discuss more here 💬 Your thoughts and insights are invaluable. Let’s drive this conversation forward together! #ArtificialIntelligence #EthicalAI #TechEthics #FutureOfTech #innovation

I am convinced that AI offers unparalleled opportunities for growth, efficiency rather than for decision making or creativity purposes. At the same time, it presents significant ethical challenges, including privacy concerns, bias, and accountability. Let's commit to fostering an ecosystem where AI serves as a tool for positive change, grounded in transparency, fairness, and inclusivity. Ethical AI is not a boring topic, it's a reality that we must actively shape with every line of code we write and every algorithm we deploy. 👥 I invite you to join the conversation: How do we ensure that the emerging technologies we develop are not only advanced but also aligned with ethical principles that protect and benefit humanity? Have you read our stance on AI for humanity? https://smpl.is/8l8ht Please comment, like or repost if you can. #EthicalAI #ArtificialIntelligence #Innovation #TechnologyEthics #AIForGood

🌟 At AIWorks, we're committed to making the future of AI not just advanced, but also safe and ethical. Our mission? "Pioneering Safe and Ethical AI for a Responsible Future." 🔍 Explore cutting-edge projects like: 1. **The Alethos Project**: Integrating timeless values of truth and ethics into AI. 2. **AI Beacon Network**: Enhancing real-time monitoring and accountability in AI. 3. **AI911.Report**: Your go-to platform for reporting AI misuse incidents. Join us on this critical mission. Your voice and actions matter! 👉 Dive deeper at our website: www.aiworks.org #AISafety #EthicalAI #Transparency Learn more and get involved today!