The Concrete Problems in AI Safety paper did not discuss the transparency of neural nets.
Unresolvable The public record could not settle it.
Factual: Statements about the present or the past, checked against the record: did they hold up?
What would count as true or false
Test the text of 'Concrete Problems in AI Safety' (Amodei, Olah et al., arXiv 1606.06565, 2016, in the version available as of 2017-07-21). True: the paper has no section or substantive discussion of the transparency or interpretability of neural nets; at most it mentions the topic in passing (e.g. a citation or a single clause). Mostly true: the paper mentions transparency or interpretability only briefly, in a sentence or two or in a list of related areas, without treating it as a problem it discusses. Mixed: the paper deals with transparency in a limited but real way, e.g. a paragraph inside another section. Mostly false: the paper discusses transparency over several paragraphs as part of its analysis. False: the paper has a dedicated section or subsection on neural-net transparency or interpretability.
Set before the research began.
Evidence (4)
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E1 Transcript: Concrete Problems in AI Safety with Dario Amodei and Seth Baum - Future of Life Institute Future of Life Institute · 31 August 2016
“There are five concrete problems: avoiding negative side effects, avoiding reward hacking, scalable oversight, safe exploration, and robustness to distributional shift.”
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E2 Transcript: Concrete Problems in AI Safety with Dario Amodei and Seth Baum - Future of Life Institute Future of Life Institute · 31 August 2016
“But then, as soon as they started talking about their research, many of the issues that came up were related to things like control, and transparency, and bias.”
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E3 Transcript: Concrete Problems in AI Safety with Dario Amodei and Seth Baum - Future of Life Institute Future of Life Institute · 31 August 2016
“But then, as soon as they started talking about their research, many of the issues that came up were related to things like control, and transparency, and bias.”
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E4 Concrete AI safety problems OpenAI · 21 June 2016 Own record
“The authors discuss five areas:”
Reasoning
The criteria require testing the text of the paper, but no evidence item quotes or examines its full text. E1 lists five concrete problems, and transparency is not among them; E4 says only that the authors discuss five areas, without naming them. That shows only that transparency is not one of the main problems, not whether it gets a brief mention, a paragraph or related-work discussion. E2 and E3 mention transparency only as an issue that came up when 'they started talking about their research', without tying it to the paper, so the evidence does not settle which grade of the criteria applies.
Cite this claim
Dario Amodei, “The Concrete Problems in AI Safety paper did not discuss the transparency of neural nets.” (said 21 July 2017). Verdict: unresolvable. Reliability API, claim c_9890d8ecbf75, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_9890d8ecbf75
This claim is in dataset release v1.1.2, with the same verdict.
Reply to this claim
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Verdicts are made automatically; how verdicts are made.