Open Praxis: The Manifesto for Teaching and Learning in a Time of Generative AI – A Critical Collective Stance to Better Navigate the Future
The manifesto critically examines generative AI in higher education, arguing that while it offers personalized learning and efficiency, it also risks reinforcing biases, eroding human creativity and judgment, and devaluing educators. It calls for ethical, evidence-based approaches that prioritize AI literacy and rethinking education to maintain human agency.
Open Praxis: The Manifesto for Teaching and Learning in a Time of Generative AI – A Critical Collective Stance to Better Navigate the Future
Summary of Read Full Report (PDF)
This document presents a collaboratively written manifesto offering a critical examination of the integration of Generative AI (GenAI) in higher education. It identifies both the positive and negative aspects of GenAI's influence on teaching and learning, stressing that it is not a neutral tool and risks reinforcing existing biases.
The manifesto calls for research-backed decision-making to ensure GenAI enhances human agency and promotes ethical responsibility in education. It also acknowledges that while GenAI has potential, educators must also think about the deprofessionalization of the education field if AI tools increasingly automate tasks like grading, tutoring, and content delivery, potentially leading to job displacement and reduced opportunities for educators.
The text explores the importance of AI literacy for users and also looks to the risks of human-AI symbiosis, including the erosion of human judgement, autonomy and creative agency. The authors hope to encourage debate and offer insight into the future of GenAI in educational contexts.
Here are the five main takeaways:
- GenAI is not a neutral tool. It reflects worldviews and can reinforce biases, potentially marginalizing diverse voices.
- GenAI can both enhance and diminish essential human elements in education. While it offers potential for personalized learning and efficiency, it also risks eroding creativity, critical thinking, and empathy.
- Ethical considerations are paramount. Issues such as bias, fairness, transparency, and data security must be addressed to ensure responsible deployment of GenAI.
- Educators, administrators, and policymakers need to rethink education. Continuing with 'business as usual' is not an option. A shift is needed to emphasize learning processes and adapt assessment methods.
- Robust, evidence-based research is crucial. Decisions about integrating GenAI in education should be guided by a deep understanding of its impacts.
Related Articles
Gemini 3.1 Pro and the Case for Model-Agnostic Agentic Infrastructure
Google's Gemini 3.1 Pro doubled its reasoning benchmarks overnight. Here's why that makes model-agnostic agentic infrastructure more critical than ever.
Google Gemini 3.1 Pro, ChatGPT Ads, and Why Organizations Need to Own Their AI Infrastructure
Google launches Gemini 3.1 Pro with advanced reasoning while OpenAI rolls out ads in ChatGPT. These two moves reveal a growing tension in enterprise AI: who controls the intelligence layer, and whose interests does it serve?
ChatGPT Now Has Ads — And It Should Change How You Think About AI Infrastructure
OpenAI has started showing ads inside ChatGPT responses. This marks a turning point: organizations relying on consumer AI tools are now subject to someone else's monetization strategy. Here's why owning your AI infrastructure matters more than ever.
Gemini 3.1 Pro Just Dropped — Here's What It Means for Organizations Running Their Own AI
Google's Gemini 3.1 Pro launched today with 1M-token context, native multimodal reasoning, and agentic tool use. Here's why model releases like this one matter most to organizations that own their AI infrastructure — and why locking into a single provider is the costliest mistake you can make.
See the ibl.ai AI Operating System in Action
Discover how leading universities and organizations are transforming education with the ibl.ai AI Operating System. Explore real-world implementations from Harvard, MIT, Stanford, and users from 400+ institutions worldwide.
View Case StudiesGet Started with ibl.ai
Choose the plan that fits your needs and start transforming your educational experience today.