Earlybird’s Post

I want to personally invite you to participate in an upcoming webinar that I am hosting along with a few dear friends of mine. The webinar, "From Policy to Practice: AI Adaptation for Higher Ed Administrators," is designed for K-12 and higher-ed administrators looking to understand AI implementation and integration for the upcoming fall. However, our conversation will also be stimulating for anyone interested in unpacking big-picture questions about the next right steps for AI, instruction, and learning. 🗓 Date: 13 August 2024 🕒 Time: 12 Noon-1PM EST 📍 Location: Zoom --https://lnkd.in/e-u2q8Qw My co-presenters are AI Ethics expert David H. and AI Assessment expert Mike Kentz M.A.T., M.A. Here is the abstract: This webinar facilitates crucial dialogue on AI policy implementation for higher education administrators. We'll collaboratively develop methodologies to address key challenges: 1. How do we create adaptable, institution-wide AI guidelines?  2. What frameworks ensure responsible AI integration across academic and administrative functions?  3. How can we establish effective oversight mechanisms? Through interactive discussions, we'll explore approaches to drafting enforceable policies, managing AI vendors, and balancing innovation with risk mitigation. Participants will engage in developing practical strategies for staff training, ensuring regulatory compliance, and measuring AI initiative success. Join us to shape robust methodologies for leading your institution's AI adaptation confidently and ethically. Hope to see you there!!! Nick Potkalitsky, Ph.D.

As AI governance takes on greater importance globally, the demand for skilled AI Officers is on the rise. In the UK and other regions, there’s increasing discussion around possible legislation that would require organizations to appoint dedicated AI Officers. Now is the perfect time to prepare for this emerging, future-focused role. Here’s a quick look at our recommended path to becoming an AI Officer: 👩🏫 Begin with the essentials of AI. 💡 Explore the principles of AI ethics. 📜 Master the requirements of regulatory compliance. 📈 Develop leadership skills tailored for AI. 🎓 Finish strong with IEEE CertifAIed™ Assessor Training, providing you with recognized credentials to assess and implement ethical AI practices within your organization. Whether you’re starting out or looking to advance, this pathway equips you with the tools, insights, and expertise to lead responsibly in AI governance. Curious? Visit our Academy page for all our courses and start exploring! https://lnkd.in/e5jivpJU #AIGovernance #AIOfficerPathway #EthicalAI #AICompliance #AILeadership #FutureOfAI #IEEECertified #ResponsibleAI #VerdasAI #AICertification #AIRegulation #CareerInAI #AIEthics #AITraining

Unlock the Future of Learning with AI Missed our live webinar? No issue—you can still catch the full session and learn how AI is going to change Instructional Design in India and across the world. Here's Rahul Agarwal, Regional Operations Lead, APAC at Microsoft, to give a perspective on how AI is going to completely change the way people will learn—from customized experiences to ethical and practical challenges. Why You Should Watch: Discover how AI is creating participatory and inclusive learning experiences. Discover some of the tools and trends: AR/VR, adaptive learning systems. Knowing how to balance technology with the human touch. Learn about what comes next in India within the global AI-powered education landscape. Watch the full webinar here: https://lnkd.in/gBzSbg-P What gets you most excited about AI in instructional design? Please use the comment section below to share. #LXDGuild #AI #InstructionalDesign #EdTech #FutureOfLearning #LearningAndDevelopment #AIInEducation #Webinar #ArtificialIntelligence #InstructionalDesign #AIInEducation #EdTech #FutureOfLearning #ARVRinLearning #eLearningInnovation #DigitalLearning #PersonalizedLearning

How can we use the promise of AI to build a better future of learning without compromising safety and ethics? Researchers, technologists, and leaders from the Stanford Accelerator for Learning envision this future in three proposals to the PanelPicker for #SXSWEDU 2025. Take a look and vote for your favorites: 📌 Build-a-Bot Workshop: Make Your Own AI to Make Sense of AI. This hands-on session led by Reuben Thiessen and Josh Weiss will help teachers design a chatbot based on their classroom needs, utilizing research-backed practices to boost engagement and align educational context with AI tools: https://lnkd.in/g3MMfSQ9 📌 Responsible AI: Balancing Innovation, Impact, & Ethics. This panel with Isabelle Hau explores how educators, technologists, and policymakers can collaborate to ensure transparency, objectivity, and accuracy of AI tools: https://lnkd.in/gdUPtjz2 📌 AI-Enabled Instructional Coaching. Led by Stanford Center on Early Childhood researchers Philip Fisher and Lauren Klein, this panel explores key considerations for the design and development of AI-enabled instructional coaching: https://lnkd.in/gGF65HDr

One of the hot topics and widely discussed recently has been if companies are ramping up their AI training for their teams. Here is my guide on how businesses can skill up and provide literacy programs to prepare their teams for the AI era. If we want to embrace AI with a strong ethical AI lens, educating employees and offering a range of learning materials for understanding and using Gen AI is key. Foundational skills like prompt engineering and training in AI ethics and company policy governing the use of AI is a baseline for AI training. According to reports, progress to equip employees for the AI-centric workplace has been slow. Less than half of the companies in the US (38%) and UK (44%) are taking steps to train workers to use AI tools according to a 2023 LinkedIn survey of 3,000 senior executives. The technology comes with risks and limitations. It has been scrutinised for its reliability, arising from LLM’s tendency to hallucinate, or present false or misleading information as a fact as well as security risks stemming from use of confidential company data or intellectual property in AI prompts or model training. This has led to the need for guardrails in place. Training on AI ethics which reflects the business’s value in how the technology is applied and training on responsible AI principles such as fairness and transparency should be delivered as part of the literacy program. Here are some ways that a business can skill up teams: 💥 Intranet Hub: Providing company-wide AI learning accessible across the organisation. 💥 Lunch and Learn Sessions: Experts and knowledgeable employees can educate teams and share knowledge on aspects of AI concepts. 💥 Hands-on Practical Sessions: Encouraging a community of practice where employees can engage and learn. 💥 Experimentation: Giving teams autonomy to experiment, learn and share knowledge. Experimenting on multiple Gen AI platforms gives teams the opportunity to learn more broadly across different AI systems. 💥 Accelerator programme: For new digital hires with AI-related degrees to help them get up to speed in their roles. 💥 Online Courses: Providing online courses in various tech disciplines including data and AI. As the AI space is constantly evolving , regular training is needed and businesses need to prepare employees from entry-level to CEO with Gen AI tools for the AI-centric workplace. How are you skilling up your team? Are there other methods you have used to train your employees? Share your initiatives here. #ArtificialIntelligence #GenAI #AITraining #DigitalTransformation #Training #ResponsibleAI

I am pleased to share I have completed the course "Navigating Generative AI Risks for Leaders," which is part of the educational programme "Navigating Generative AI for Leaders". This was a short course which should prove valuable to business leaders as an introduction to GenAI ethics and risks, including subjects such as business model risks, data security, privacy issues related to AI, legislation and regulation. One of the standout aspects of the course was its focus on the ethical considerations of using GenAI and the role of senior leaders in fostering responsible AI principles within their organisation. It also offered an overview of the current legal and regulatory landscape, which is crucial for ensuring compliance. For those navigating the complexities of AI adoption, this course is a good starting point. For a more in-depth look at the subject of AI ethics, I highly recommend the excellent course from Lund University, "Artificial Intelligence: Ethics & Societal Challenges". #continuousLearning #generativeAI #genAI #artificialintelligence #AITransformation #AIStrategy #AIEthics #AIRisks #AILeadership #digitalTransformation #strategy #businessStrategy #leadershipTraining #AILeadership #appliedAI

As a business consultant and university lecturer, I often find myself at the intersection of technology and ethics. Reflecting my experiences with English and Turkish firms, it becomes clear that the ethical landscape of AI in business is complex and multifaceted. While AI holds immense potential, we must remain vigilant in addressing the ethical dilemmas it presents. What about: - AI Outperforms Your Director’s Suggestion: The AI’s recommendation is more data-driven, efficient, and cost-effective. Do you trust the AI over your director, risking human relationships and leadership authority? - Bias in AI Hiring Decisions: AI rejects a qualified candidate based on outdated data trends, flagging them as a “risk factor.” Are we allowing AI to make decisions that humans should never tolerate? - Employee Surveillance vs. Humanity: AI tracks productivity dips, flagging employees for “underperformance.” What if those dips are due to moments of empathy—supporting a grieving colleague? Is that inefficiency or humanity? -AI’s Influence on Team Dynamics: When an AI tool suggests team reassignments based on performance metrics, are we risking the cohesion and collaboration that come from strong interpersonal relationships? - Decision-Making in Crisis: In times of crisis, AI might suggest cutting costs by reducing workforce. Are we prioritizing data analysis over the human impact on our colleagues’ lives? As business leaders and educators, we have a responsibility to ensure that AI serves as a force for good. This involves embracing transparency, fostering diversity in data, and prioritizing human oversight in AI applications. I urge my colleagues and peers to engage in meaningful discussions about AI ethics and to champion responsible practices within their organizations. Together, we can shape a future where technology enhances human potential while upholding our core values of integrity and empathy. #AI #Ethics #Leadership #BusinessConsulting #FutureOfWork #ArtificialIntelligence #CulturalInsights #Education #ResponsibleAI #EthicalLeadership

#AIResponsibility It's a momentous day as we witness the landmark case of the first known arrest and prosecution in the US for creating and sharing AI-generated explicit images without consent. This underlines the gravity of non-consensual use of AI and its direct repercussions on personal privacy and individual rights. ✅ A Precursor for Legislative Reform: While this incident is concerning, it may serve as a much-needed catalyst to stir action and inspire legislative reform. Swift intervention put an end to the wrongful use of AI, but what it truly underscores is the need for effective laws, norms and regulations. There's an urgent requirement for tech legislature to catch up with AI advancements. ✅ AI Ethics & Education: The incident also amplifies the necessity for greater tech education. Particularly, there's a need to educate users on AI ethics to preempt such abuses in the future. Users need to understand that AI is not a tool for exploiting or compromising privacy and must respect this boundary unmistakenly. 1️⃣ Reshaping the future trajectory of AI: As we move forward, we must continually reassess and improve our frameworks to ensure safe AI usage. The current incident is an important reminder of the vast range of problems that can stem from the misuse of AI. It's crucial that we continue to evolve and better protect those who could potentially be harmed by inappropriate AI use. ⏳ An Urgent Call-To-Action: While it's tempting to pass this incident off as a youthful transgression, the reality is that it's a clear-cut case of how AI can be manipulated with damaging consequences. This should serve as a call-to-action for all of us working in the AI field, be it legal experts, regulators, educators, corporate entities or individual coders. Let's navigate responsibly through the raging torrent of AI-volution together. As we innovate and advance, let's also safeguard and educate. Through collective vigilance and continual evolution of our ethical standards, we ensure that the gains from AI never come at the cost of human rights. #AIforGood #AIethics #LetsLeadByExample

Day 25: The Ethical Considerations of AI in Data Analysis 🤔⚖️ Welcome to Day 25! Today, we’ll explore the ethical considerations surrounding the use of AI in data analysis. Why Ethics in AI Matters: AI systems can significantly impact individuals and society, making it crucial to address ethical concerns to ensure fairness, transparency, and accountability. Key Ethical Considerations: Bias and Fairness: AI models can unintentionally perpetuate biases present in training data, leading to unfair outcomes. Ensuring diversity in data and algorithmic fairness is essential. Transparency: It’s important to make AI decision-making processes transparent. Explainable AI (XAI) helps in understanding how models make decisions. Privacy: Protecting individuals' data privacy is paramount. AI systems must comply with data protection regulations like GDPR. Accountability: Clearly define who is responsible for AI-driven decisions, especially in high-stakes areas like healthcare and finance. Addressing Bias in AI: Data Auditing: Regularly audit datasets for bias and representativeness. Algorithmic Fairness: Implement techniques to ensure fairness, such as re-sampling, re-weighting, or algorithm adjustments. Inclusive Design: Involve diverse teams in AI development to minimize biases. Ensuring Transparency: Model Explainability: Use interpretable models or tools like LIME and SHAP to explain complex models. Documentation: Keep detailed documentation of AI models, including data sources, training processes, and decision-making criteria. Protecting Privacy: Data Anonymization: Remove personally identifiable information (PII) from datasets. Secure Data Handling: Implement robust security measures to protect data from breaches. Accountability Measures: Ethical Guidelines: Establish and adhere to ethical guidelines for AI development and deployment. Regulatory Compliance: Ensure AI systems comply with relevant laws and regulations. Real-World Examples: Healthcare: Ensuring AI systems provide equitable treatment recommendations across different demographic groups. Finance: Avoiding biased credit scoring models that unfairly disadvantage certain populations. 📚 Useful Resources: AI Ethics - MIT Media Lab https://lnkd.in/d3hVfF8F Bias and Fairness in AI - Towards Data Science https://lnkd.in/dFAe_Er8 Next, we’ll wrap up our series with insights into building a data analysis portfolio and exploring career opportunities. Stay tuned! #DataAnalysis #AI #Ethics #DataScience #MachineLearning #Learning #TechTrends #Education #CareerGoals

🚀 𝐄𝐥𝐞𝐯𝐚𝐭𝐞 𝐘𝐨𝐮𝐫 𝐓𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐀𝐈 𝐋𝐢𝐭𝐞𝐫𝐚𝐜𝐲 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐃𝐄𝐎𝟒𝐏𝐀 𝐏𝐫𝐨𝐠𝐫𝐚𝐦! 🌐 In light of the exponentially increasing use of digital technologies, including AI, in public services the upcoming EU AI regulation, Trustworthy AI literacy is becoming a critical skill for those working in public administration. The DEO4PA program is designed to meet this growing need by providing comprehensive training in digital ethics and AI literacy. 📚✨ The EU's AI Act emphasizes the importance of AI literacy for deployers, underscoring the necessity for public service employees to possess the skills, knowledge, and understanding needed to safely and effectively deploy AI systems. This includes: ·        Ensuring the use of high-risk AI systems complies with the law 🛠️ ·        Keeping accurate records and maintaining human oversight 🧑💼 ·        Providing staff with the necessary training and authority to manage and oversee AI systems competently Our DEO4PA program aligns perfectly with these regulatory requirements, offering targeted courses that prepare public administrators to navigate the complex ethical and regulatory landscape. 🌟 Invest in your future (or that of your administrators) and ensure you (they) are equipped to meet the challenges posed by digital technologies in public administration. Stay ahead of the curve with DEO4PA and become a leader in AI literacy and digital ethics. 🚀 @MEF ALLAI , DIMITRA Education & Consulting SA), EDHEC Business School , Università Telematica Internazionale UNINETTUNO , European Institute of Public Administration (EIPA). #DigitalEthics #AI #PublicService #AIRegulation #TrainingProgram #EthicalAI #AILiteracy