A small tool to view real-world ActivityPub objects as JSON! Enter a URL
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to the server to view the underlying object.
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"content": "<p>I draw heavily from the data statement / model card work of <span class=\"h-card\" translate=\"no\"><a href=\"https://dair-community.social/@timnitGebru\" class=\"u-url mention\">@<span>timnitGebru</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://dair-community.social/@emilymbender\" class=\"u-url mention\">@<span>emilymbender</span></a></span> and <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@mmitchell_ai\" class=\"u-url mention\">@<span>mmitchell_ai</span></a></span> </p><p>Any errors in applying their concepts are, of course, mine. But I know product labeling quite well, and there are strong parallels between their proposals and existing labeling requirements elsewhere, like prescribing information. In my comment, I suggest NTIA utilize the work of Gebru / Bender / Mitchell to develop mandatory, standardized labeling for generative AI.</p><p>/2</p>",
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"en": "<p>I draw heavily from the data statement / model card work of <span class=\"h-card\" translate=\"no\"><a href=\"https://dair-community.social/@timnitGebru\" class=\"u-url mention\">@<span>timnitGebru</span></a></span> <span class=\"h-card\" translate=\"no\"><a href=\"https://dair-community.social/@emilymbender\" class=\"u-url mention\">@<span>emilymbender</span></a></span> and <span class=\"h-card\" translate=\"no\"><a href=\"https://mastodon.social/@mmitchell_ai\" class=\"u-url mention\">@<span>mmitchell_ai</span></a></span> </p><p>Any errors in applying their concepts are, of course, mine. But I know product labeling quite well, and there are strong parallels between their proposals and existing labeling requirements elsewhere, like prescribing information. In my comment, I suggest NTIA utilize the work of Gebru / Bender / Mitchell to develop mandatory, standardized labeling for generative AI.</p><p>/2</p>"
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"name": "I submit this comment in response to those questions. For seventeen years, I have represented injured consumers, employees, and patients in personal injury, product liability, and workplace safety claims. My work routinely involves corporations that have failed to warn about a risk or to follow a regulatory safety standard. I have litigated claims involving CPSC-recalled consumer products, EPA regulation of hazardous chemicals, EPA labeling of pesticides, FDA approval of ‘medical devices, FDA approval of pharmaceutical labeling, USCG-enforced inland navigation rules, OSHA requirements for personal protective equipment, and NHTSA crash test standards. If generative Al is as powerful and transformative as its proponents say, then it should be held to atleast the same standards of honesty and transparency as a pack of gum. Currently, the AT companies deny they have any responsibility to consumers at all. ",
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"name": "‘The Al industry is increasingly adopting—at least in concept, though not in execution—model cards based on the work of Gebru et al (2018)\", Bender & Friedman (2018)*, and Mitchell et al. (2019b)\". An annotated model card template is available at Hugging Face, where Mitchell is Chief Ethics Scientist.* TensorFlow, a Google project, includes a model card toolkit. s IBM has proposed “FactSheets,” inspired by supplier’s declarations of conformity that are common in business-to-business transactions, that “contain purpose, performance, safety, security, and provenance information to be completed by AI service providers for examination by consumers.™*\n\nUnfortunately, although there is a growing recognition that generative AI should provide model cards, their content varies widely. ",
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"name": "The Al Industry’s Usual Terms Of Service Are Incompatible With Consumer Protection\n\nImportantly, labeling laws for food, cosmetics, drugs, medical devices, and even pesticides do ‘not merely require standardized disclosures, but also prohibit “misbranding” by way of labeling that is “false or misleading in any particular,* language that dates back to the Food and Drugs Act 0f 1906. All these products must be what they say they are, and must function the way they say they do.\n\nIn sharp contrast, the major Al companies expressly deny any responsibility for their own claims about their products. For example, OpenAT's terms of use* assert: ",
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"name": "Itis no surprise that pharmaceutical labeling bears considerable resemblance to the Gebru / Bender / Mitchell framework”, which includes model sources, uses (direct, downstream, and out-of-scope), warnings (bias, risks, and limitations), details on training data and procedures, evaluation (testing data, factors, and metrics), and technical specifications (such as the computer infrastructure). That is the sort of information that users of sophisticated products with complex risks—whether pharmaceuticals or generative Al—need to have and which they should not have to hunt down through piles of scattered documentation and papers. ",
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