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The talented Stephen Caines punctures the cloud of confusion that is Ben and Vaden's conception of facial recognition technology. We talk about the development and usage of facial recognition in the private and public spheres, the dangers and merits of the technology, and Vaden's plan to use it a bars. For God's sake don't give that man a GPU.
Stephen is a legal technologist with a passion for access to justice. He is a 2019 graduate of the University of Miami School of Law with a concentration in the Business of Innovation, Law, and Technology. While in law school, his work focused on public interest, legal aid organizations, and non-profits. He was a 2018 Access to Justice Technology Fellow and has worked with the Legal Services of Greater Miami, Inc. on a variety of technology initiatives aimed at optimizing their operations. Additionally, he worked on the legislative and technology policy team of the Cyber Civil Rights Initiative. Stephen’s current work focuses on developing standards and best practices for the safe and ethical implementation of technology in the public sector.
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Special Guest: Stephen Caines.
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On the same page at last! Ben comes to the philosophical confessional to announce his probabilistic sins. The Bayesians will be pissed (with high probability). At least Vaden doesn't make him kiss anything. After too much agreement and self-congratulation, Ben and Vaden conclude the mini-series on the philosophy of probability, and "announce" an upcoming mega-series on Conjectures and Refutations.
References:
- My Bayesian Enlightenment by Eliezer Yudkowsky
Rationalist community blogs:
- Less Wrong
- Slate Star Codex
- Marginal Revolution
Yell at us at [email protected].
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Back down to earth we go! Or try to, at least. In this episode Ben and Vaden attempt to ground their previous discussion on the philosophy of probability by focusing on a real-world example, namely the book The Precipice by Toby Ord, recently featured on the Making Sense podcast. Vaden believes in arguments, and Ben argues for beliefs.
Quotes
"A common approach to estimating the chance of an unprecedented event with earth-shaking consequences is to take a skeptical stance: to start with an extremely small probability and only raise it from there when a large amount of hard evidence is presented. But I disagree. Instead, I think the right method is to start with a probability that reflects our overall impressions, then adjust this in light of the scientific evidence. When there is a lot of evidence, these approaches converge. But when there isn’t, the starting point can matter.
In the case of artificial intelligence, everyone agrees the evidence and arguments are far from watertight, but the question is where does this leave us? Very roughly, my approach is to start with the overall view of the expert community that there is something like a one in two chance that AI agents capable of outperforming humans in almost every task will be developed in the coming century. And conditional on that happening, we shouldn’t be shocked if these agents that outperform us across the board were to inherit our future. Especially if when looking into the details, we see great challenges in aligning these agents with our values."
- The Precipice, p. 165
"Most of the risks arising from long-term trends remain beyond revealing quantification. What is the probability of China’s spectacular economic expansion stalling or even going into reverse? What is the likelihood that Islamic terrorism will develop into a massive, determined quest to destroy the West? Probability estimates of these outcomes based on expert opinion provide at best some constraining guidelines but do not offer any reliable basis for relative comparisons of diverse events or their interrelations. What is the likelihood that a massive wave of global Islamic terrorism will accelerate the Western transition to non–fossil fuel energies? To what extent will the globalization trend be enhanced or impeded by a faster-than-expected sea level rise or by a precipitous demise of the United States? Setting such odds or multipliers is beyond any meaningful quantification."
- Global Catastrophes and Trends, p. 226
"And while computers have been used for many years to assemble other computers and machines, such deployments do not indicate any imminent self- reproductive capability. All those processes require human actions to initiate them, raw materials to build the hardware, and above all, energy to run them. I find it hard to visualize how those machines would (particularly in less than a generation) launch, integrate, and sustain an entirely independent exploration, extraction, conversion, and delivery of the requisite energies."
- Global Catastrophes and Trends, p. 26
References:
- Global Catastrophes and Trends: The Next Fifty Years
- The Precipice: Existential Risk and the Future of Humanity
- Making Sense podcast w/ Ord (Clip starts around 40:00)
- Repugnant conclusion
- Arrow's theorem
- Balinski–Young theorem
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Don't leave yet - we swear this will be more interesting than it sounds ...
... But a drink will definitely help. Ben and Vaden dive into the interpretations behind probability. What do people mean when they use the word, and why do we use this one tool to describe different concepts. The rowdiness truly kicks in when Vaden releases his pent-up critique of Bayesianism, thereby losing both his friends and PhD position. But at least he's ingratiated himself with Karl Popper.
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Get in touch at [email protected].
audio updated 13/12/2020
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In their first somber episode, Ben and Vaden discuss the protests and political tensions surrounding the murder of George Floyd. They talk about defunding the police, the importance of philosophy in politics, and honest conversation as the only peaceful means of error-correction.
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Errata:
Love and complaints both welcome at [email protected].
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Are computer scientists recklessly applying their methods to other fields without sufficient thoughtfulness? What are computer scientists good for anyway? Ben, in true masochistic fashion, worries that computer scientists are overstepping their bounds. Vaden analyzes his worries with a random forest and determines that they are only 10% accurate, but then proceeds to piss of his entire field by arguing that we're nowhere close to true artificial intelligence.
References
Errata
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Ben persuades Vaden that all prisoners should be let loose. Vaden convinces Ben that he shouldn’t use the word “vista” so regularly. At least they stay on topic this time.
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An attempt to clean up the mess we made last episode. Ben still doesn't figure out how not to yell into his microphone, and Vaden finally realizes what Ben was saying and it was … perhaps not so interesting in the first place? Ben, all too pleased with himself, starts yammering on about future generations. Should we care? God — we promise that next week we’ll try to stick to whichever subject we pick.
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We attempt to talk about Epistemic Modesty: broadly, the idea that one should be modest in their beliefs when other people (with similar credentials) disagree with them. Vaden however, entirely immodestly, tries abandoning the subject because he’s scared of Ben’s forceful arguments and derails the conversation on to the entirely uncontroversial subject of which systems of moral decision making are best suited for moral progress. A flabbergasted Ben tries to keep up, but too little too late. Most of the time he's just trying to get his microphone to behave anyway.
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Ben and Vaden attempt to justify why the world needs another podcast, and fail.
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