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Writing, new topic on Jan 21, new task for Jan 30

Freie Universität’s AI guidelines (in German) can be found here:

13 – Tue Jan 21 1–2 PM – co-producing texts with the help of ai

Key Session Content:

  • Understand the fundamental differences between human writing processes and AI text generation
  • Avoid getting trapped in AI-dependent workflows that bypass critical thinking
  • Structure your writing process to maximize human insight while critically evaluating potential AI assistance

    Core Concepts:
    1. Human Writing Process vs. AI Generation
  • Writing as thinking vs. writing as pattern matching
  • The value of struggle and uncertainty
  • When clarity emerges through writing process
    2. Critical AI Workflows
  • Identifying when AI seems tempting (language barriers, writer’s block, time pressure)
  • Understanding what you lose by outsourcing different parts of writing
  • Developing criteria for justified vs. convenient AI use
    3. Community-Based Writing Strategies
  • Building peer support networks
  • Collaborative writing and editing practices
  • Shared resources and knowledge banks

14 – Tue Jan 28 12–2 PM – improving your text // independent writing time // peer-review

Trade paper drafts and examine them through the lens of AI co-production. Each reviewer should:

  1. Identify sections where AI assistance might be tempting but would bypass crucial thinking work
  2. Suggest alternative approaches that maintain intellectual sovereignty
  3. Find opportunities where limited AI use might be justified by clear social/academic benefit

TASK #7: Critical Writing Process Analysis
After peer reviewing each other’s drafts, submit a reflection (1-2 pages) that:

  • Takes 1-2 examples from the papers you reviewed
  • Analyzes specific passages where AI tools might be commonly used (e.g., language polishing, transitional phrases, literature summaries)
  • Discusses the tradeoffs involved (environmental cost, thinking process, accessibility needs)
  • Proposes concrete alternative strategies for addressing writing challenges through peer support and collaborative work

Submit your analysis as a PDF by e-mail from your zedat or @fu-berlin.de address to my email address, using the subject “porcupine”. Deadline Thu Jan 30 6 PM.

ai and the Middle East, Can the Middle East Develop an Indigenous AI Ecosystem Beyond Western Framings?

As artificial intelligence emerges as a transformative force reshaping societies and economies, a crucial question arises: How will the Middle East, with its rich diversity of cultures, histories and knowledge traditions, engage with and influence the development trajectories of this powerful technology?

From the outset, it’s important to recognize that the origins of contemporary AI have been heavily shaped by Western military priorities, corporate interests and Enlightenment ideals of rational calculation. The major breakthroughs powering today’s AI boom – from machine learning algorithms to massive language models – have their roots in research agendas cultivated by U.S. defense laboratories and tech behemoths. This framing of AI as an instrument of centralized power and social control represents a direct inheritance of the region’s colonial histories.

Yet, the Middle East is no mere recipient of externally-imposed technological narratives. Across its mosaic of nations and communities lie pluralistic wellsprings of knowledge that could catalyze alternative conceptualizations of artificial intelligence – ones grounded in localized contexts, value systems and lived experiences. These counter-narratives hold immense potential to not just develop indigenous AI capabilities, but to fundamentally reshape how we perceive the role of AI in service of more socially-conscious visions of progress.

Take, for instance, the ethical philosophies and jurisprudential traditions within the Islamic world that champion ideals of justice, human dignity and public welfare. What might a framework of “Sharia AI” look like if it prioritized these virtues over the encoded biases and profit motives of dominant AI systems? Emerging initiatives exploring the intersection of Islamic ethics and AI governance in places like Saudi Arabia and the UAE could provide crucial ethical guardrails for new AI systems centering human flourishing.

The region’s rich literary canons and linguistic heritages also offer radical new possibilities. The metaphoric expressiveness of Persian poetry, the complex semantics of Arabic, and the oral storytelling customs across the Levant and North Africa could all spark novel approaches to areas like creative language modeling and multi-modal AI – ones that move beyond reductive, decontextualized statistical representations. Advances in natural language AI grounded in these pluralistic knowledge systems may pioneer more nuanced, culturally-aware AI assistants and interfaces.

Furthermore, postcolonial thought emerging from Middle Eastern diasporas holds immense analytical power in deconstructing AI’s insidious reinforcement of power hierarchies and systemic inequities. Critiques interrogating how AI encodes Western epistemologies of extraction, surveillance and domination over subaltern populations are already surfacing. These contextualized lenses are vital for developing AI systems explicitly designed to resist oppressive dynamics and structural marginalization.

Of course, catalyzing a more pluralistic regional AI ecosystem will require confronting immense challenges around access, infrastructure and governance complexities. Bridging socioeconomic and gender divides to democratize AI capabilities must remain a priority. Defusing AI’s potential to exacerbate geopolitical conflicts and sectarian tensions through transparency and stakeholder engagement is paramount. And maintaining robustness against adversarial use of AI systems by both state and non-state actors will need clear ethical redlines.

Yet the Middle East’s heterodox knowledge systems, if harnessed judiciously, present a generative catalyst to reimagine AI beyond its Western military-industrial baggage. As this technology continues rapidly reshaping our world, the unique histories and futurist visions emanating from this cradle of civilizations could be vital in steering AI towards more pluralistic, equitable and human-centered trajectories that serve all peoples and societies.

In this pursuit, we must wrestle with a crucial inquiry: How can the Middle East’s diversity of traditional knowledge frameworks converge to shape an AI paradigm grounded in shared regional values of human dignity, socioeconomic justice and pluralistic co-existence? The answers may catalyze a renaissance in artificial intelligence.