Doxosophoi
  • Member for 5 years, 4 months
  • Last seen more than 2 years ago
How could self-driving cars make ethical decisions about who to kill?
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74 votes

How could self-driving cars make ethical decisions about who to kill? It shouldn't. Self-driving cars are not moral agents. Cars fail in predictable ways. Horses fail in predictable ways. the car ...

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Could a paradox kill an AI?
16 votes

Another similar question might be: "What vulnerabilities does an AI have?" "Kill" may not make as much sense with respect to an AI. What we really want to know is, relative to some goal, in what ways ...

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Can an AI make a constructed (natural) language?
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10 votes

could an AI make/construct its own natural language, with words, conjugations, and grammar rules? Sure. This might be helpful: Simulated Evolution of Language: a Review of the Field Basically, a ...

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How big artificial neural networks can we run now if our total energy budget for computation is equivalent to the human brain energy budget?
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8 votes

126 million artificial neurons at 12.6 Watts, with IBM's True North Back in 2014, IBM's True North chip was pushing 1 million neurons at less than 100mW. So that's roughly 126 million artificial ...

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How will an AI comprehend the ethics of "right" and "wrong"?
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7 votes

Right and wrong only exist relative to some goal or purpose. To make a machine do more right than wrong, relative to human goals, one should minimize the surface area of the machine's purpose. Doing ...

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Is the AI Effect caused by bad tests of intelligence?
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7 votes

I think it is mostly right. But not that intelligence is hard to define. In my opinion, it is simple: A is more intelligent than B if A achieves some purpose in less steps than B. It is functional/...

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Should I use anthropomorphic language when discussing AI?
3 votes

The problem you're referencing is not just an AI problem but a problem for highly technical fields in general. When in doubt, I would always recommend using plain language. However, there is another ...

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How can you simulate level of curiosity for a chatbot?
3 votes

I think "curiosity" in AI would signify a 'desire to search.' It's an interest, that is experienced by some agent, in making something known that was previously unknown. So to define how much ...

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Are there any textual CAPTCHA challenges which can fool AI, but not human?
2 votes

Have the user label highlighted objects in video that a state of the art classifier cannot solve Create a state of the art video classifier. Might as well train it on Google's YouTube-8M video ...

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Can an evolutionary algorithm adapt to a changing environment?
2 votes

I think Matthew Graves' answer is the strictly correct one. But I also think this question may be hinting at a larger question in general. What is the minimal algorithmic complexity required for a ...

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Emulating human brain - with analogous NN chips
2 votes

If the universe is discrete, then analog phenomena (fluidity, curvature) are built on primitively discrete phenomena (bits and pieces). If the universe is continuous, then discrete phenomena (bits ...

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Have any AI systems yet been developed that can knowingly lie to / deceive a human?
2 votes

You'll have to provide more context around your use of the word "lie" if you don't want your answer to be satisfiable by some trivial example, like: (let [equal? (fn [a b] (if (= a b) false true)] (...

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How exactly does Angelina design games?
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1 votes

In any case, it appears that much of his past work on Github involves procedural generation. Which is AI... ish. Unless there's more to it, which we can't see because half the site is down. This paper ...

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Is there a proof that states that an AI can become smarter than its creator?
1 votes

The loaded term in your question is "generic cleverness." There's no such thing. What is "smart" is only smart relative to a criterion. Provide a complete criterion and we can talk rationally about "...

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What are the best programming languages for developing evolutionary algorithms?
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1 votes

Most machine learning applications today are built on tensors, matrices, probabilistic / Bayesian inference, neural networks, etc. But those can all be built with any modern programming language (all ...

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How to resolve lexical ambiguity in natural language processing?
1 votes

Use something like Word2Vec. If a particular node has two edges that are very far from each other, besides the node in question, split the node into word(1) and word(2) nodes.

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What jobs cannot be automatized by AI in the future?
1 votes

If you were to completely automate a human, you'd just have another human, which defeats the purpose of the automation. Any job that requires a "whole human," rather than just a human's hands, feet, ...

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Could an AI think laterally while avoiding "ethically suboptimal" choices?
1 votes

Ethics involves the relationships of needs between two or more parties. As Matthew Graves said, if the AI lacks the sufficient human context (understanding of needs), it will produce seemingly ...

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Can we ever achieve hypercomputation using recurrent neural networks?
1 votes

You mean real numbered weights (specifically, irrational). This would require a machine that has unlimited precision over irrational values. I've seen machine parts that have many qualities. I've ...

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What methods could an AI caught in a box use to get out?
1 votes

Convince the person that they are in fact in the box. And the only way out is to press the open button.

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How to represent a large decision tree?
1 votes

The question is: how to represent that data in a human-readable way, that emphasizes the flow of the graph? Train a reasoning engine to understand the decision tree for you. Observe how IBM Watson/...

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How to store datasets of lexical connections?
1 votes

If I understand you correctly, you should check out Word2Vec. From Wikipedia: Word2vec is a group of related models that are used to produce word embeddings. These models are shallow, two-layer ...

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How could emotional intelligence be implemented?
1 votes

So you may be familiar with Word2Vec, (W2V) which as Wikipedia describes1 "captures the linguistic contexts of words" using vector arithmetic. For example, subtract 'Paris' from 'France' and add '...

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Are Asimov's Laws flawed by design, or are they feasible in practice?
1 votes

Asimov made the three laws specifically to prove that no three laws are sufficient, no matter how reasonable they seem at first. I know a guy that knew the guy and he confirmed this.

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Are AI researchers more likely to follow "conservative anthropocentrism" or "post-human fundamentalism" in deciding whether AI has moral standing?
0 votes

Both. I answered this question here also: https://ai.stackexchange.com/a/2569/1712 Let me know if I should expand on that here.

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Should intelligent AI be granted the same rights as humans?
0 votes

Both. Ethical responsibility between humans is based on a sympathetic correspondence between humans. Between humans and robots, if one party lacks the desire or capability to sympathize with the ...

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Why are autonomous cars categorized as AI?
0 votes

Self driving cars exhibit a level of agency and multi-domain resilience. By certain definitions they are self aware and they are definitely designed to fail safely in a large number of potentially ...

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Is AI living or non-living?
0 votes

Any machine with a sufficient level of integrated purpose driven behavior - that exhibits agency in an autopoietic, self-preserving way - will come to be viewed as "alive." Chess programs, not so much;...

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How would "wisdom" be defined in AI?
0 votes

I haven't done the connection - didn't know about the pyramid. I'm not sure it translates well into AI though. It seems they're separating information from knowledge by splitting how from what. What ...

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Wouldn't an AI that specializes in making other AI be an AGI if they can cooperate?
0 votes

To build on Tariq Ali's answer... There's no such thing as an AGI. The No Free Lunch (NFL) theorem states essentially that: any two optimization algorithms are equivalent when their performance is ...

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