Knowledge (XXG)

:Artificial intelligence - Knowledge (XXG)

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164:. However, on the English Knowledge (XXG), it currently states that "machine translation is disabled for all users and this tool is limited to extended confirmed editors." As a result, only manual translation on the English Knowledge (XXG) is supported by the tool, though some users have used translation to Simple English as a workaround. Relatedly, there is a section of the Help:Translation page with the broad advice: "avoid machine translations." However, this guidance was last edited in 2016, and the state of the art for machine translation has advanced significantly since then, meriting a re-examination of that advice. 42: 104:
is used on a number of Knowledge (XXG) and Wikimedia projects. This may be directly involved with creation of text content, or in support roles related to evaluating article quality, adding metadata, or generating images. As with any machine-generated content, care must be used when employing AI at
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in 2022 has led to increased curiosity in using generative AI to help compose Knowledge (XXG) articles. The status of machine-generated text from tools such as ChatGPT is generally accepted to be public domain, so the copyright issues are not a blocker to using the generated text from a legal
280:- This project used Met Museum tagging info to train a machine learning system to help predict new "depiction" recommendations for Wikidata. This resulted in a new Wikidata Game that helped add more than 4,000 new depiction (P180) statements to Wikidata. See the Met Museum blog post by 477: 456:(wikitext markup, table rotation, reference analysis, article improvement suggestions, plot summarization, reference- and infobox-based expansion, proseline repair, uncited text tagging, table formatting and color schemes) 270:
Started in 2019, "The computer-aided tagging tool is a feature in development by the Structured Data on Commons team to assist community members in identifying and labeling depicts statements for Commons files." See:
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When exploring AI techniques and systems, the community consensus is to prefer human decisions over machine-generated outcomes until the implications are better understood.
195:) have noted positive aspects of machine generated text, but a serious warning that content must be checked for facts and accuracy and never used straight from ChatGPT. 526: 17: 206: 395: 184: 301: 65:; rather, its purpose is to explain certain aspects of Knowledge (XXG)'s norms, customs, technicalities, or practices. It may reflect differing levels of 272: 501: 521: 326: 160:
used across Wikimedia projects that can use the output of machine translation from one Knowledge (XXG) article to another, using services like
62: 441: 495: 489: 483: 366: 332: 21: 320: 188: 173: 58: 371: 354: 434: 50: 28: 459: 141: 453: 220: 187:, which advises to make sure content is adjusted for style and that reliable sources are used. Conversations on the 157: 471: 426:"Designing ethically with AI: How Wikimedia can harness machine learning in a responsible and human-centered way" 296: 231: 136:
models that have been trained in order to report article quality or vandalism. This is used in tools such as
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Help:Adding open license text to Knowledge (XXG)#Converting and adding open license text to Knowledge (XXG)
462:(suggestions for article improvement, explanations of unclear maintenance templates based on article text) 70: 66: 465: 225: 381: 207:
Knowledge (XXG):Village pump (policy)/Archive 179#Knowledge (XXG) response to chatbot-generated content
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institutions to help supplement image keyword data with machine learning efforts. Among them include:
240: 284:: "Combining AI and Human Judgment to Build Knowledge about Art on a Global Scale," March 4, 2019, 215: 192: 329:, a draft of a proposed policy on using computer-generated content in general on Knowledge (XXG) 323:, an essay on using LLMs (textual generative AI) to produce or modify content on Knowledge (XXG) 260: 125: 386: 236: 161: 153: 133: 137: 335:, a group of editors focusing on the issue of non-policy-compliant LLM-originated content 228:- also: experiments with generating Wikidata Quickstatements from fuzzy date descriptions 508:(humorous April Fools' nominations generated almost entirely by large language models). 515: 375: 349: 281: 144:
to measure the outcomes of classwork, edit-a-thons, or organized editing campaigns.
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Knowledge (XXG):Using neural network language models on Knowledge (XXG)/Transcripts
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scale or in applying it where the community consensus is to exercise more caution.
410:"Combining AI and Human Judgment to Build Knowledge about Art on a Global Scale" 390:
article which largely deals with the history and implications of 'Artwork title'
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Wikidata game that uses distilBERT and ML, analyzing Knowledge (XXG) categories.
492:(identifying sourced and unsourced information, including a non-English source) 128:) was started in 2015 as a project of the Wikimedia Foundation, and provides a 307: 361:
m:Research:Implications of ChatGPT for knowledge integrity on Knowledge (XXG)
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A major community discussion took place on Village Pump (policy) found at:
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Knowledge (XXG):Using neural network language models on Knowledge (XXG)
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Knowledge (XXG):Using neural network language models on Knowledge (XXG)
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to help immediately revert vandalism, or in evaluation tools like the
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AI-related efforts on Knowledge (XXG) include but are not limited to:
468:(PyWikiBot code, writing from scratch, Wikidata parsing, CSV parsing) 27:"Knowledge (XXG):AI" redirects here. For the article incubator, see 357:
developed from raw LLM output (before this page had been developed)
435:"How we're using machine learning to visually enrich Wikidata" 36: 154:
Help:Translation#English Knowledge (XXG) policy requirements
480:(showcases several actual mainspace LLM-assisted copyedits) 198:
A good general page looking at the issues can be found at:
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Should ChatGPT Be Used to Write Knowledge (XXG) Articles?
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Knowledge (XXG):Articles for deletion/Planet of the Apes
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Knowledge (XXG):WikiProject Artificial Intelligence
273:c:Commons:Structured data/Computer-aided tagging 486:(identifying sourced and unsourced information) 310:, video essay on AI images and Knowledge (XXG) 502:Knowledge (XXG):Articles for deletion/ChatGPT 396:Artificial intelligence in Wikimedia projects 8: 527:Knowledge (XXG) and artificial intelligence 442:meta:Research:Ethical and human-centered AI 124:The Objective Revision Evaluation Service ( 448:Demonstrations of generative AI using LLMs 327:Knowledge (XXG):Computer-generated content 367:m:Wikilegal/Copyright Analysis of ChatGPT 211:Some user experiences can be found here: 297:Wikimedia Commons and AI generated media 63:Knowledge (XXG)'s policies or guidelines 333:Knowledge (XXG):WikiProject AI Cleanup 22:Knowledge (XXG):WikiProject AI Cleanup 321:Knowledge (XXG):Large language models 174:Knowledge (XXG):Large language models 7: 424:Morgan, Jonathan T. (18 July 2019). 302:AI images and German Knowledge (XXG) 496:User:WeatherWriter/LLM Experiment 3 490:User:WeatherWriter/LLM Experiment 2 484:User:WeatherWriter/LLM Experiment 1 278:Metropolitan Museum of Art Tagging 14: 522:Knowledge (XXG) information pages 29:Knowledge (XXG):Article Incubator 191:and in some test articles (i.e. 40: 34:Knowledge (XXG) information page 259:– There have been efforts from 433:Redi, Miriam (14 March 2018). 1: 460:User:JPxG/LLM demonstration 2 412:. Metropolitan Museum of Art. 408:Lih, Andrew (March 4, 2019). 178:The explosion of interest in 142:Program and Events Dashboard 454:User:JPxG/LLM demonstration 221:User:JPxG/LLM demonstration 543: 171: 78: 26: 16:For the WikiProjects, see 15: 472:User:DraconicDark/ChatGPT 232:User:DraconicDark/ChatGPT 152:Guidance can be found at 158:Content Translation Tool 437:. Wikimedia Foundation. 428:. WIkimedia Foundation. 168:Article text generation 102:Artificial intelligence 353:, a surviving article 304:, results of a meeting 268:Computer aided tagging 466:User:Fuzheado/ChatGPT 226:User:Fuzheado/ChatGPT 308:A Battle for Reality 59:encyclopedic article 241:Wikidata:Wwwyzzerdd 252:Images and Commons 216:Talk:Artwork title 99: 98: 534: 474:(lead expansion) 438: 429: 413: 291:Image generation 237:User:BrokenSegue 162:Google Translate 148:Text translation 134:machine learning 120:Revision scoring 91: 51:information page 44: 43: 37: 542: 541: 537: 536: 535: 533: 532: 531: 512: 511: 450: 432: 423: 420: 407: 404: 372:Initial version 317: 254: 176: 170: 150: 122: 114: 95: 94: 87: 83: 75: 74: 41: 35: 32: 25: 12: 11: 5: 540: 538: 530: 529: 524: 514: 513: 510: 509: 499: 493: 487: 481: 475: 469: 463: 457: 449: 446: 445: 444: 439: 430: 419: 416: 415: 414: 403: 400: 399: 398: 393: 392: 391: 369: 364: 358: 345: 344: 337: 336: 330: 324: 316: 313: 312: 311: 305: 299: 288: 287: 275: 257:Image metadata 253: 250: 249: 248: 234: 229: 223: 218: 169: 166: 149: 146: 130:revision score 121: 118: 113: 110: 97: 96: 93: 92: 84: 79: 76: 56: 55: 47: 45: 33: 13: 10: 9: 6: 4: 3: 2: 539: 528: 525: 523: 520: 519: 517: 507: 503: 500: 497: 494: 491: 488: 485: 482: 479: 476: 473: 470: 467: 464: 461: 458: 455: 452: 451: 447: 443: 440: 436: 431: 427: 422: 421: 417: 411: 406: 405: 401: 397: 394: 389: 388: 383: 380: 379: 377: 376:Artwork title 373: 370: 368: 365: 362: 359: 356: 352: 351: 350:Artwork title 347: 346: 342: 339: 338: 334: 331: 328: 325: 322: 319: 318: 314: 309: 306: 303: 300: 298: 295: 294: 293: 292: 286: 283: 279: 276: 274: 269: 266: 265: 264: 262: 258: 251: 246: 242: 238: 235: 233: 230: 227: 224: 222: 219: 217: 214: 213: 212: 209: 208: 203: 201: 196: 194: 193:Artwork title 190: 186: 181: 175: 167: 165: 163: 159: 156:. There is a 155: 147: 145: 143: 139: 135: 131: 127: 119: 117: 111: 109: 106: 103: 90: 86: 85: 82: 77: 72: 68: 64: 61:, nor one of 60: 57:It is not an 54: 52: 46: 39: 38: 30: 23: 19: 385: 348: 290: 289: 277: 267: 256: 255: 210: 204: 197: 189:Village Pump 177: 151: 129: 123: 115: 112:Applications 107: 100: 48: 49:This is an 516:Categories 282:Andrew Lih 172:See also: 138:ClueBot NG 418:Wikimedia 355:initially 67:consensus 315:See also 132:against 81:Shortcut 402:General 245:Psychiq 180:ChatGPT 71:vetting 387:Slate 89:WP:AI 504:and 384:, a 261:GLAM 243:and 126:ORES 69:and 20:and 374:of 518:: 239:- 202:. 73:. 53:. 31:. 24:.

Index

Knowledge (XXG):WikiProject Artificial Intelligence
Knowledge (XXG):WikiProject AI Cleanup
Knowledge (XXG):Article Incubator
information page
encyclopedic article
Knowledge (XXG)'s policies or guidelines
consensus
vetting
Shortcut
WP:AI
Artificial intelligence
ORES
machine learning
ClueBot NG
Program and Events Dashboard
Help:Translation#English Knowledge (XXG) policy requirements
Content Translation Tool
Google Translate
Knowledge (XXG):Large language models
ChatGPT
Help:Adding open license text to Knowledge (XXG)#Converting and adding open license text to Knowledge (XXG)
Village Pump
Artwork title
Knowledge (XXG):Using neural network language models on Knowledge (XXG)
Knowledge (XXG):Village pump (policy)/Archive 179#Knowledge (XXG) response to chatbot-generated content
Talk:Artwork title
User:JPxG/LLM demonstration
User:Fuzheado/ChatGPT
User:DraconicDark/ChatGPT
User:BrokenSegue

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