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AI's role in quantifying subjective data debated

The discussion explores the potential and implications of using AI to quantify subjective and unstructured data, moving beyond traditional metrics. It questions whether all aspects of human experience and information can or should be converted into measurable values on a scale, considering the impact of Large Language Models (LLMs) on this process. AI

IMPACT Raises questions about the scope and ethics of AI in quantifying subjective human experiences and data.

RANK_REASON The item is a discussion/opinion piece about the implications of AI on data measurement.

Read on Mastodon — sigmoid.social →

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AI's role in quantifying subjective data debated

COVERAGE [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    🤖 Can we (and should we) tokenize everything into metrics using AI? (-1 to 1 Scale) Hi everyone, I’ve been thinking about data obsession lately. Historically, w

    🤖 Can we (and should we) tokenize everything into metrics using AI? (-1 to 1 Scale) Hi everyone, I’ve been thinking about data obsession lately. Historically, we only measured structured data (clicks, time, revenue). But with LLMs, unstructured and subjective data (like text emot…