Questions tagged [ai-safety]

For questions regarding various parameters/methods of implementation/improvement/analyzing the safety of an Artificially Intelligent algorithm. A typical real world example is autonomous vehicles.

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30
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8answers
5k views

Is artificial intelligence vulnerable to hacking?

The paper The Limitations of Deep Learning in Adversarial Settings explores how neural networks might be corrupted by an attacker who can manipulate the data set that the neural network trains with. ...
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3answers
582 views

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

Isaac Asimov's famous Three Laws of Robotics originated in the context of Asimov's science fiction stories. In those stories, the three laws serve as a safety measure, in order to avoid untimely or ...
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6answers
537 views

Why does Stephen Hawking say "Artificial Intelligence will kill us all"? [closed]

This quote by Stephen Hawking has been in headlines for quite some time: Artificial Intelligence could wipe out humanity when it gets too clever as humans will be like ants. Why does he say this? To ...
10
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2answers
539 views

What tools are used to deal with adversarial examples problem?

The problem of adversarial examples is known to be critical for neural networks. For example, an image classifier can be manipulated by additively superimposing a different low amplitude image to each ...
8
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2answers
333 views

What are examples of techniques to prevent bias in artificial intelligence systems?

I recently read an article about how artificial intelligence replicates human stereotypes when applied to biased datasets. What are examples of techniques to prevent bias (and stereotypes) in ...
6
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3answers
868 views

Why did a Tesla car mistake a truck with a bright sky?

Do we know why Tesla's autopilot mistaken empty sky with a high-sided lorry which resulted in fatal crash involving a car in self-drive mode? Was it AI fault or something else? Is there any technical ...
6
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1answer
224 views

Why is AI safety so much harder than Isaac Asimov's "Three Laws of Robotics"?

I understand that AI researchers are trying to create AI designs that allow for desired behavior without undesirable side-effects. A classic example of an attempt is Isaac Asimov's Three Laws of ...
6
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1answer
267 views

What will happen when you place a fake speedsign on a highway?

I was wondering what will happen when somebody places a fake speedsign, of 10 miles per hour on a high way. Will a autonomous car slow down? Is this a current issue of autonomous cars?
6
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1answer
81 views

What is the relationship between robustness and adversarial machine learning?

I have been reading a lot of articles on adversarial machine learning and there are mentions of "best practices for robust machine learning". A specific example of this would be when there are ...
5
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3answers
433 views

Can artificial intelligence applications be hacked? [duplicate]

Can artificial intelligence (or machine learning) applications or agents be hacked, given that they are software applications, or are all AI applications secure?
4
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2answers
255 views

Concrete examples of unintentional adversarial AI behaviour

Are there any real-world examples of unintentional "bad" AI behaviour? I'm not looking for hypothetical arguments of malicious AI (AI in a box, paperclip maximizer), but for actual instances in ...
4
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1answer
64 views

Is it necessarry to create theory/infrastructure to prevent people from creating AI incompatible with a safe model (if we create one)?

Nowadays we don't know how to create AI in a safe way (I think that we don't even know yet how to define a safe AI), but there is a lot of research in developing a model allowing it. Let's say, that ...
4
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1answer
113 views

What topologies support recognition of action sequences?

The ability to recognize an object with particular identifying features from single or multiple camera shoots with the temporal dimension digitized as frames has been shown. The proof is that the ...
4
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1answer
179 views

Does Rice's theorem prove safe AI is undecidable?

According to Wikipedia In computability theory, Rice's theorem states that all non-trivial, semantic properties of programs are undecidable. A semantic property is one about the program's ...
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3answers
574 views

Can an evolving AI be programmed not to lie?

It seems that certain AI are able to lie or deceive. See e.g. Evolving Robots Learn To Lie To Each Other (Popsci), Robots Evolve to Deceive (MIT Tech Review) or Robots 'Evolve' the Ability to Deceive (...
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1answer
205 views

Where are reinforcement algorithms used in financial services?

One of the most common misconceptions about reinforcement learning (RL) applications is that, once you deploy them, they continue to learn. And, usually, I'm left having to explain this. As part of my ...
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2answers
87 views

How to measure Deep RL algorithms in terms of safety?

I applied for a Ph.D. in AI, my advisor told me that my thesis is about safe applications of deep RL algorithms in healthcare. So I decided to do as the first paper, a comparison of Deep RL algorithms ...
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2answers
183 views

If the AI goal is the protection of humans, will it always pursue this goal?

If the AI goal is to serve humans and protect them (if this ever happens) and AI someday realizes that humans destroy themselves, will it try to control people for their own good, that is, will it ...
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0answers
22 views

To what level of abstraction must fully automated vehicles build their driving model before safety can be maximized?

There are several levels of abstraction involved in piloting and driving. Signals representing the state of the vehicle and its environment originating from multiple transducers1 Latched sample ...
0
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1answer
54 views

The only convergent instrumental goal for self modifying AI

Conjecture: regardless of the initial reward function, one of the winning strategies would be to self-modify to change the reward function to a simpler one (e.g. "do nothing") thus getting ...
0
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1answer
91 views

Does this prove AI Safety is undecidable?

Does this prove AI Safety is undecidable? Proof: Output meaning output to computer program. [A1] Assume we have a program that decides which outputs are “safe”. [A2] Assume we have an example of ...