ASD-STE100 Standardized Download PDF THE HIERARCHY OF ARTIFICIAL INTELLIGENCE RISK AND THE PRESERVATION OF HUMAN LEARNING AGENCY Table of Contents Scope and Purpose Terms and Definitions The Two False Beliefs About AI Agency The Inverted Hierarchy of Risk The Two-Century Continuum of Attention Capture The Mechanisms of Voluntary Disagency The Existential Crisis: Atrophy of the
Part I: The Take-Off Ramp — Evolution Beyond Raw Encephalization A prevalent misconception in evolutionary biology suggests that human cognitive superiority stems directly from brain expansion—simply scaling an ancestral ape brain from roughly 350–450 cm³ (and ~6–9 billion cortical neurons) up to 1350–1400 cm³ (and ~16–21 billion cortical neurons). Yet an isometric scaling of that
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“The most immediate, high-leverage danger of advanced AI does not require the machine to have a will of its own; it arises because AI dramatically lowers the skill barrier and multiplies the destructive reach of rogue human actors—enabling individuals, syndicates, and hostile nation-states to synthesize novel biological pathogens, automate catastrophic cyberwarfare against critical infrastructure, and
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If you haven’t seen the latest NetFlix release: AI GONE WILD I recommend it. It’s a great backdrop for understanding the misleading ways the media is helping to perpetuate the wrong set of fears. Click here for a detailed take on the Hugging Face example Like the documentary points out, every few weeks (becoming days),
The ongoing debate over whether artificial intelligence will become a conscious, autonomous agent has trapped itself between two dogmas of unexamined certainty. On one side stand those who declare machine self-agency an absolute inevitability: “Advanced AI will inevitably develop into an autonomous, self-interested entity that breaks free from human control, pursuing its own survival and
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“I visualize a time when we will be to robots what dogs are to humans.” – Claude Shannon 1987 The Hierarchy of AI Risk The public debate over the existential risk of artificial intelligence is paralyzed by deceptive illusions. The scenarios commanding the most headlines and panic are the most speculative and sensational, while the
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The greatest danger of AI is not technological. It is the power of AI to profit its owners in a world in which the right to exploit people trumps the rights of people not to be exploited. Ads to AI main (Brief slideshow overview PDF) Continuum https://davidboulton.com/continuum/ History of the Mass Human Behavioral Effects of
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In his “Looking in the Mirror” episode of “Lyrics of Livin” (hear him in full below), Matthew McConaughey, with his distinctly cool gravitas, says: “AI’s a big mirror we’re holding up to ourselves, but it’s still only a reflection” My first response was who is he talking about? The “we’re” seems like a future historian’s
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Define “contingency blindness”. Contingency blindness is a cognitive bias where people fail to recognize the relationship between their actions and outcomes, particularly when those outcomes are negative. It’s a form of illusory correlation, where an individual believes there’s no connection between their behavior and a subsequent event, even when a causal link exists. This phenomenon
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We can’t use human ways of thinking about knowing to explain AI’s process of tokening. AI’s have semantically arbitrary, mechanical rather semantic, meaning space extent limits. An AI user’s bandwidth limits (technologically or customer type) affect the “depth” of context informing the tokening. That’s what makes AIs seem so absurd – as if they are
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