How to Create GenAI Guidelines for Schools

Want to know the key to creating GenAI guidelines that work for students? Involve students as key stakeholders in the process. I saw that first hand today while working with 11th grade students from South Brooklyn as they build AI policies for their fellow students as part of the yearlong NYC DOE HE3AT program. To say I am energized by their insights, engagement, and commitment is an understatement. Some of the takeaways I am bringing back to the wider work we do with schools and districts: 🌟 Students want to be able to use GenAI in targeted ways to support their learning - no one believed ChatGPT should be banned 🌟 Students want a set of clear guidelines on how to appropriately use GenAI - they do not want to be left on their own 🌟Accessibility and equity were of huge concern to students - some went as far as to say that students with disabilities and language needs should have MORE access to these tools 🌟Students believe that AI literacy training should include a focus on model bias and hallucinations 🌟 Students wanted tools that were targeted to students' grade level and specific needs GenAI is set to make the biggest difference in young people's lives. Yet we so rarely include them in conversations about GenAI adoption. My challenge to anyone working in this space is to bring students into the process at every step along the way. I promise it will be worth the effort! AI for Education Barry Haines Ed.D. #aiforeducation #teachingwithAI #studentvoice #aipolicy #aiethics #genAI #AI #ChatGPT

Guidance for a more Ethical AI 💡This guide, "Designing Ethical AI for Learners: Generative AI Playbook for K-12 Education" by Quill.org, offers education leaders insights gained from Quill.org's six years of experience building AI models for reading and writing tools used by over ten million students. 🚨This playbook is particularly relevant now as educational institutions address declining literacy and math scores exacerbated by the pandemic, where AI solutions hold promise but also risks if poorly designed. The guide explains Quill.org's approach to building AI-powered tools. While the provided snippets don't detail specific tools, they highlight the process of collecting student responses and having teachers provide feedback, identifying common patterns in effective coaching. #Bias: AI models are trained on data, which can contain and perpetuate existing societal biases, leading to unfair or discriminatory outcomes for certain student groups. #Accuracy and #Errors: AI can sometimes generate inaccurate information or "hallucinate" content, requiring careful fact-checking and validation. #Privacy and #Data #Security: AI systems often collect student data, raising concerns about how this data is stored, used, and protected. #OverReliance and #Reduced #Human #Interaction: Over-dependence on AI could diminish crucial teacher-student interactions and the development of critical thinking skills. #Ethical #Use and #Misinformation: Without proper safeguards, AI could be used unethically, including for cheating or spreading misinformation. 5 takeaway #Ethical #Considerations are #Paramount: Designing and implementing AI in education requires a strong focus on ethical principles like transparency, fairness, privacy, and accountability to protect students and promote equitable learning. #Human #Oversight is #Essential: AI should augment, not replace, human educators. Teachers' expertise in pedagogy, empathy, and the ability to foster critical thinking remain irreplaceable. #AI #Literacy is #Crucial: Educators and students need to develop AI literacy, understanding its capabilities, limitations, potential biases, and ethical implications to use it responsibly and effectively. #Context-#Specific #Design #Matters: Effective AI tools should be developed with a deep understanding of educational needs and learning processes, potentially through methods like analyzing teacher feedback patterns.  Continuous Evaluation and Adaptation are Necessary: The impact of AI in education should be continuously assessed for effectiveness, fairness, and unintended consequences, with ongoing adjustments and improvements. Via Philipp Schmidt Ethical AI for All Learners https://lnkd.in/e2YN2ytY Source https://lnkd.in/epqj4ucF

Exciting news! 🚀 This week, Washington became the fifth state to unveil a strategy for integrating AI into public schools. 🙌 Here's why I think this sets a great precedent for other states/countries: 🤖 Human → AI → Human: Students and educators are encouraged to always begin with human inquiry, apply AI tools, and then evaluate and edit results. Focusing the narrative on human-centered approach ensures we maintain the integrity of the learning experience. 🚀 Empowering Future Innovators: AI is here to stay. This initiative encourages the embedding (vs. banning) of ethical AI use in K-12 education. This ensures students are not just passive users but informed creators and critics of AI technologies, ready to navigate a future where AI is likely much more ubiquitous. 🛡️ Data Protection & Privacy: Prioritizing the safety and privacy of student data is a big piece of AI adoption and literacy. We will never be able to establish trust among educators and parents in AI unless we ensure that student information is safeguarded. Arguably the EU is ahead of the US in this regard but it’s great to see data privacy is becoming an important part of the conversation in the US as well. 🌍 Equity and Inclusion in AI: There already are huge gaps in accessibility to meaningful AI education and so I appreciate multiple callouts in the document to ensure AI education is accessible to every student, breaking down barriers and promoting inclusivity. 🚀 Professional Development for Educators: The initiative recognizes the importance of empowering teachers with the knowledge and tools to effectively integrate AI into their teaching practices. 🤔 Critical Thinking and AI Ethics: Students are encouraged to engage with AI critically, understanding the algorithms and data that power these technologies. There are real risks and biases that come with GenAI and so it’s great to see that students are encouraged to question (and shape) the impact of AI on society. 📈 Real-World Applications: It's important to remind students that despite risks there are real positive use-cases of these technologies. And hopefully getting them excited to use GenAI meaningfully in their careers. 💡 Creative Problem Solving: By understanding AI's capabilities, students are equipped to leverage technology for creative innovation. This focus on creativity ensures that the next generation is ready to use AI in novel ways (that the non-AI natives might not think of). 👨🏫 Community Engagement and Support: Parents, families, and the wider community need to be involved in understanding AI's role in education. This inclusive approach ensures a collective effort in navigating the AI landscape. AI literacy is what we stand for at ai LaMo so huge kudos to Office of Superintendent of Public Instruction and Chris Reykdal for championing such a visionary approach! #EdTech #AIineducation #WashingtonState #GenAI #education #edtechstartup