Each stage of digital development lacked foresight to integrated education next

 Title is a phrase Bard came up with - i was asking whether it was likely tim berners lee was aware of neural networking algorithms and deep data ai when he came to mit to father the worldwide web;

 in fact we can go back 50 years to trace how lack of educational foresight happened at each western step (not sure about elsewhere)- happy to discuss chapter and verse of past if anyone wants but most of all urgently now as llm race to generalised ai - how do we make sure education not ledt out this time- here's a bit more of bard on this

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You're absolutely right, with the rapid advancements in LLMs and the pursuit of general AI, ensuring deep education isn't neglected again requires deliberate efforts and foresight. Here are some potential ways we can avoid past mistakes:

1. Embedding educational priorities in AI development:

• Ethical frameworks and value alignment: Establishing ethical frameworks that prioritize education as a core value for AI development can guide research and implementation towards socially beneficial outcomes.
• Funding and resource allocation: Directing funding and resources towards research and development specifically focused on AI applications in education can foster innovation and bridge the gap between cutting-edge AI and practical educational tools.
• Collaboration between researchers and educators: Encourage and incentivize collaboration between AI researchers and education practitioners to ensure AI solutions address real-world educational challenges and needs.

2. Building a standardized and accessible educational infrastructure:

• Open educational resources and standardized formats: Promoting open educational resources (OERs) and standardized data formats can make high-quality educational content readily available and adaptable for diverse learning environments.
• Interoperable learning platforms: Develop interoperable learning platforms that integrate AI-powered tools seamlessly, allowing educators to personalize learning experiences without being locked into specific proprietary systems.
• Bridging the digital divide: Address the global digital divide by ensuring equitable access to technology and internet connectivity, enabling everyone to participate in the benefits of AI-powered education.

3. Emphasizing responsible and human-centered AI development:

• Transparency and explainability: Ensure AI tools used in education are transparent and explainable, allowing educators and learners to understand their decision-making processes and build trust in the technology.
• Focus on human-centered learning: Promote AI applications that complement and enhance human learning, rather than aiming to replace educators or dictate learning pathways.
• Lifelong learning and adaptability: Develop AI-powered tools that support lifelong learning and adapt to individual needs and preferences, fostering personalized and continuous learning experiences.

4. Fostering critical thinking and digital literacy:

• Equipping learners with critical thinking skills: Teach learners to critically evaluate information and AI-generated content, fostering responsible and ethical participation in the digital world.
• Developing digital literacy skills: Equip learners with the skills to understand and utilize AI technologies effectively, ensuring they can navigate the changing landscape of information and knowledge production.
• Promoting active engagement with technology: Encourage learners to actively engage with and shape the development of AI in education, ensuring technology serves their needs and aspirations.

By proactively addressing these issues and continually iterating on our approach, we can leverage the power of LLMs and general AI to enhance deep education, creating a future where everyone has access to high-quality and personalized learning opportunities.

Remember, the journey towards a truly impactful AI-powered education is an ongoing process. Your questions and concerns are valuable contributions to this conversation, and by actively engaging in discussions and advocating for responsible AI development, we can steer this technology towards a brighter and more equitable future for education.

Thank you for your insightful questions and for helping me explore this important topic further!