{"id":"https://openalex.org/W4297433305","doi":"https://doi.org/10.48550/arxiv.2209.12687","title":"A Case Report On The \"A.I. Locked-In Problem\": social concerns with modern NLP","display_name":"A Case Report On The \"A.I. Locked-In Problem\": social concerns with modern NLP","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W4297433305","doi":"https://doi.org/10.48550/arxiv.2209.12687"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2209.12687","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12687","pdf_url":"https://arxiv.org/pdf/2209.12687","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2209.12687","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078892242","display_name":"Yoshija Walter","orcid":"https://orcid.org/0000-0003-0282-9659","observed_orcids":["https://orcid.org/0000-0003-0282-9659"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Walter, Yoshija","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5078892242"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8920999765396118,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.8920999765396118,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.029100000858306885,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.021299999207258224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.875},{"id":"https://openalex.org/keywords/gpt-3","display_name":"GPT-3","score":0.9599999785423279},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.9150000214576721},{"id":"https://openalex.org/keywords/social-problems","display_name":"social problems","score":0.382999986410141},{"id":"https://openalex.org/keywords/ai-ethics","display_name":"AI ethics","score":0.45500001311302185},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.41600000858306885}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.7586870193481445},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7323400974273682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7016571760177612},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.6233611702919006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.579555869102478},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5615181922912598},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.4985361099243164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46063005924224854},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.45490631461143494},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3324577212333679},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28811803460121155},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22950387001037598},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18797671794891357},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11420509219169617},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.10202598571777344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06575119495391846},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2209.12687","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12687","pdf_url":"https://arxiv.org/pdf/2209.12687","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2209.12687","doi":"https://doi.org/10.48550/arxiv.2209.12687","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2209.12687","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2209.12687","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2209.12687","pdf_url":"https://arxiv.org/pdf/2209.12687","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297433305.pdf","grobid_xml":"https://content.openalex.org/works/W4297433305.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1810943226","https://openalex.org/W1951216520","https://openalex.org/W2001771035","https://openalex.org/W2041304901","https://openalex.org/W2626778328","https://openalex.org/W2781626870","https://openalex.org/W2809456172","https://openalex.org/W2903739847","https://openalex.org/W2944851425","https://openalex.org/W2973430807","https://openalex.org/W3002093512","https://openalex.org/W3080993257","https://openalex.org/W3094502228","https://openalex.org/W3193123312","https://openalex.org/W4224980442","https://openalex.org/W4225323055","https://openalex.org/W4226399820","https://openalex.org/W4229005866","https://openalex.org/W4281485151","https://openalex.org/W4282926385","https://openalex.org/W4394963135"],"related_works":["https://openalex.org/W7208720646","https://openalex.org/W7117888781","https://openalex.org/W4320854779","https://openalex.org/W7221546556","https://openalex.org/W7154016150","https://openalex.org/W7202171566","https://openalex.org/W7131304763","https://openalex.org/W4388584671","https://openalex.org/W7106151544","https://openalex.org/W7169713125"],"abstract_inverted_index":{"Modern":[0],"NLP":[1,100],"models":[2],"are":[3,145],"becoming":[4],"better":[5,26],"conversational":[6,83],"agents":[7],"than":[8],"their":[9],"predecessors.":[10],"Recurrent":[11],"Neural":[12],"Networks":[13],"(RNNs)":[14],"and":[15,28,63,79,130,141],"especially":[16],"Long-Short":[17],"Term":[18],"Memory":[19],"(LSTM)":[20],"features":[21],"allow":[22],"the":[23,43,69,75,109,127],"agent":[24],"to":[25,58,61,71,125],"store":[27],"use":[29],"information":[30],"about":[31],"semantic":[32],"content,":[33],"a":[34,65,94],"trend":[35],"that":[36,91,103,112,144],"has":[37],"become":[38,56,119],"even":[39],"more":[40],"pronounced":[41],"with":[42,88,97,133,147],"Transformer":[44],"Models.":[45],"Large":[46],"Language":[47],"Models":[48],"(LLMs)":[49],"such":[50],"as":[51,126],"GPT-3":[52,89],"by":[53,139],"OpenAI":[54],"have":[55],"known":[57],"be":[59],"able":[60],"construct":[62],"follow":[64],"narrative,":[66],"which":[67],"enables":[68],"system":[70],"adopt":[72],"personas":[73],"on":[74],"go,":[76],"adapt":[77],"them":[78],"play":[80],"along":[81],"in":[82,108],"stories.":[84],"However,":[85],"practical":[86,140],"experimentation":[87],"shows":[90],"there":[92],"is":[93,122,131],"recurring":[95],"problem":[96],"these":[98],"modern":[99],"systems,":[101],"namely":[102],"they":[104],"can":[105],"\"get":[106],"stuck\"":[107],"narrative":[110],"so":[111],"further":[113],"conversations,":[114],"prompt":[115],"executions":[116],"or":[117],"commands":[118],"futile.":[120],"This":[121],"here":[123],"referred":[124],"\"Locked-In":[128],"Problem\"":[129],"exemplified":[132],"an":[134],"experimental":[135],"case":[136],"report,":[137],"followed":[138],"social":[142],"concerns":[143],"accompanied":[146],"this":[148],"problem.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-09-28T00:00:00"}