Tag: automation
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AI and judgement: Cultivating taste in an age of capability
Content creation is trivially easy now. Curation—selecting what to make—is also becoming easier as AI learns your patterns. What remains is taste: evaluative judgement about what should exist in the first place. AI can be descriptive but not evaluative. It can learn your preferences but cannot judge whether they’re worth amplifying. That’s your responsibility.
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STORM writes Wikipedia-like articles from scratch
STORM is an AI system that generates Wikipedia-like articles from internet searches. It uses multiple AI personas to create diverse perspectives on topics. While the generated content is comprehensive and well-structured, it tends to provide balanced, mainstream views. STORM offers potential for collaborative writing and knowledge curation in education and research.
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I disagree. Beyond ’10 myths’ of AI in education
In this post, I critique a recent paper on AI myths in education, arguing that it presents unfounded ‘myths’ without evidence and uses outdated studies to support its claims. The author’s tendency to conflate different AI concepts is also disappointing and unhelpful, and the article fails to clarify important ideas about AI in education.
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Rejected AMEE abstract (Point of view) | Human replacement by artificial intelligence: An heretical point of view
See this brief post on my reasons for sharing rejections. I should note that my intention with this submission was to take an extreme position on a topic, to test our collective assumptions. I’m not convinced that the claim (i.e. health professions workers will be replaced by AI) is true. But I’m also not convinced…
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Rejected AMEE abstract (oral presentation) | Is ‘being human’ enough? Preparing for clinical practice in the age of artificial intelligence
See this brief post on my reasons for sharing rejections. Introduction Identity is central to our understanding of the health professions, and much of professionaleducation revolves around this core value. The introduction of artificially intelligent tools (AI-based systems) into clinical practice has led to resistance in the face of perceived threats to clinician autonomy (Jussupow…
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The next generation of AI assistants in enterprise
AI assistants can be applied both for direct customer service and within the operations of an organization. AI that understands customers, context, and that can be proactive will lead to automation of many repetitive tasks. Source: Nichol, A. (2018). The next generation of AI assistants in enterprise. Level 1 – Notification: Simple notifications on your…
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What can machine learning do? Workforce implications | Science
Although recent advances in the capabilities of machine learning (ML) systems are impressive, they are not equally suitable for all tasks… .We identify eight key criteria that help distinguish successful ML tasks from tasks where ML is less likely to be successful. Learning a function that maps well-defined inputs to well-defined outputs. Large (digital) data…