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The impact of artificial intelligence on audit profession

Rodrigues, Luis; Pereira, José; da Silva, Amélia Ferreira; Ribeiro, Humberto

Abstract

There is an expectation that the introduction of artificial intelligence (AI) will bring about profound changes in the current paradigm of the audit profession, ensuring better reliability and security in the analysis of financial statements. This paper reports the results of a questionnaire survey to ascertain the perceptions of certified auditors, from two Portuguese districts, regarding the impact of artificial intelligence on the audit profession. Findings reveal that the respondents believe that the profession's future depends on the implementation of AI, namely in the efficiency and effectiveness of audit procedures, sampling techniques, cost-benefit relationship and recognizing material distortions.

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Copy igh © 2023 by Au ho /s and Licensed by IADITI. This is an open access a icle dis ibu ed unde he C ea i e Commons A ibu ion License which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal wo k is p ope ly ci ed. Jou nal o In o ma ion Sys ems Enginee ing and Managemen 2023, 8(1), 19002 e-ISSN: 2468-4376 h ps://www.jisem-jou nal.com/ Resea ch A icle The impac o a i icial in elligence on audi p o ession Luis Rod igues1, José Pe ei a1, Amélia Fe ei a da Sil a2 *, Humbe o Ribei o3 1 School o Managemen , IPCA, Ba celos, Po ugal 2 CEOS.PP, Poly echnic o Po o / ISCAP, Po ugal 3 ESTGA & GOVCOPP, Uni e si y o A ei o, Po ugal * Co esponding Au ho : [email p o ec ed] Ci a ion: Rod igues, L., Pe ei a, J., da Sil a, A. F., & Ribei o, H. (2023). The impac o a i icial in elligence on audi p o ession. Jou nal o In o ma ion Sys ems Enginee ing and Managemen , 8(1), 19002. h ps://doi.o g/10.55267/iad .07.12743 ARTICLE INFO ABSTRACT Recei ed: 13 No 2022 Accep ed: 18 Dec 2022 The e is an expec a ion ha he in oduc ion o a i icial in elligence (AI) will b ing abou p o ound changes in he cu en pa adigm o he audi p o ession, ensu ing be e eliabili y and secu i y in he analysis o inancial s a emen s. This pape e po s he esul s o a ques ionnai e su ey o asce ain he pe cep ions o ce i ied audi o s, om wo Po uguese dis ic s, ega ding he impac o a i icial in elligence on he audi p o ession. Findings e eal ha he esponden s belie e ha he p o ession's u u e depends on he implemen a ion o AI, namely in he e iciency and e ec i eness o audi p ocedu es, sampling echniques, cos -bene i ela ionship and ecogniz ing ma e ial dis o ions. Keywo ds: Audi , A i icial In elligence, p o ession, Managemen Sys em, Indus y 4.0 INTRODUCTION The beginning o he 21s cen u y was ma ked by signi ican echnological p og ess and, a he same ime, by he g ow h o he wo ld economy and de elopmen o he s uc u e and complexi y o o ganiza ions. In addi ion, he le el o equi emen on he pa o use s o inancial s a emen s has also g own, who inc easingly seek o know exac ly whe he hey ep esen he company's inancial posi ion and whe he hey a e ee om ma e ial dis o ion due o aud o e o . In his con ex , as some o he audi p ocedu es, in pa icula manual p ocedu es, a e ine icien and ine ec i e in he cu en scena io o he ul ilmen o he p o ession's objec i es, he need ine i ably eme ges om in eg a ing audi ing in he pa h o new echnologies o de elop ools ha pe o m au oma ion o a ious audi p ocesses. The audi da es back o ancien ci iliza ions, has since aken on a ious objec i es and unde gone se e al changes o adap o he economic eali y o di e en imes. Howe e , he science o audi ing can cu en ly be de ined as a con inuous and objec i e p ocess ca ied ou by an independen expe aiming o analyze whe he he inancial s a emen s a e ee om ma e ial dis o ion due o aud o e o and i hey eliably ep esen he ue image and app op ia e company. Ne e heless, based on he de elopmen o he global economy and, consequen ly, on he g ow h o mul ina ional companies wi h decen alized ac i i ies and inc easingly complex s uc u es and ansac ions, i becomes e y di icul o he audi o o e ec i ely ul il he objec i es o he p o ession, making i di icul o gua an ee easonable secu i y le els abou he e aci y o he inancial s a emen s. Fo ha eason, a he beginning o he 21s cen u y, wi h he exponen ial g ow h o echnology, se e al wo k ools began o appea o au oma e some o he audi p ocedu es. Fo ins ance, he concep o con inuous Assu ance in audi is de ined by Vasa helyi e al. (2010), as he applica ion o mode n in o ma ion echnologies o he s anda d audi p oduc s, be hey he manda ed annual audi opinion o in e nal IT audi . Acco ding o hese au ho s, (Vasa helyi e al., 2010:27), “in he ea ly days o Con inuous Audi ing, he ul ima e ideal was he e en ual de elopmen o he ― push buon audi ‖, in which audi ing unc ions somewha analogously o he way in which i us p o ec ion so wa e au oma ically p o ec s a Rod igues L. e al. / J INFORM SYSTEMS ENG, 8(1), 19002 2 / 7 PC oday wi h li le in e en ion om he use ”. This conduc us o he big ques ion, poin ed ou by GCMA (2019:8) as he main deba e ac oss o ganiza ions om all sec o s and indus ies is his: “will he echnology lead o augmen ed human in elligence, o will i lead o he ise o au onomous in elligence and machine au oma ion?”. Acco ding o She i & Mohsin (2021), he applica ion o AI in inancial and accoun ing ield ha ks back o he 1980s, ocused on epo analysis, aud de ec ion, and p edic ion. AI is used in au oma ing adi ional wo king p ocesses, and i also allowed accoun ing and audi companies o ex end hei p oduc s and se ices. I s cu en applica ions in audi and accoun ing a e well documen ed (Omo eso, 2012; Moudud-Ul- Huq, 2014; Kokina & Da enpo , 2017; Zemánko á, 2019; Zhang e al, 2020; Zhang, e a.l., 2022). Howe e , conce ning he impac o AI on he u u e o he audi p o ession, he li e a u e in no clea . This s udy aims o assess he impac s ela ed o he applica ion o AI in his domain. I epo s he esul s o a ques ionnai e su ey o asce ain he pe cep ions o ce i ied audi o s, om oo Po uguese’s dis ic s, ega ding he impac o a i icial in elligence on audi p o ession. In he nex session, p esen s he li e a u e e iew on he opic. The pape con inuous wi h an explana ion o me hodologic p ocedu es. In session 4 he esul s a e p esen ed and discussed, ollowed by he inal conside a ion in session 5. LITERATURE REVIEW AI is an inc easingly p esen heme in ou daily li es, as he au oma ion o p o essional and social p ocesses a ises a a unique pace, con ibu ing o signi ican changes in he social and p o essional pa adigm o human beings. Howe e , al hough AI has assumed g ea e magni ude in he las yea s, i s o igin is dis an in ime. As men ioned by Gab iel (2018), he exis ence o clas ic men and a i icial beings da es back o Ancien G eece. Besides ha , o Rossi (2019), nowadays AI is de ined as a scien i ic discipline, in ended o he cons uc ion o sys ems capable o pe o ming di e si ied asks ha in eg a e human in elligence o ul ill i s objec i es. Oli ei a (2019) s a es ha a i icial in elligence concen a es a special di icul y in cha ac e izing and ep oducing, as o e ime, he e ha e been nume ous p oposals o eplica ing he cogni i e capaci y o human beings in a compu e . Howe e , he de ines ha AI consis s in he abili y o he human being o c ea e languages and manipula e symbols h ough he c ea ion o sys ems composed o cul u e and echnology, unique cha ac e is ics o he human species. Fo Mijwel (2015: 5), AI “consis s in he de elopmen o machines c ea ed en i ely by a i icial means ha can exhibi beha io s like human beings wi hou aking ad an age o any li ing o ganism.” In e ms o p oduc i i y, acco ding o Szczepański (2019), AI is a ool wi h he abili y o le e age economic and p oduc i i y g ow h, as he de elopmen o mo e e icien p oduc ion p ocesses can esul in he c ea ion o new p oduc s and se ices, con ibu ing o an inc ease consump ion and, a he same ime, addi ional e enue channels. Gillham, Rimming on, Dance, Ve wij, Rao, Ba na d & Paich (2018) es ima e ha by 2030, AI will be esponsible o global GDP g ow h o a ound 14%, equi alen o 15.7 illion dolla s, esul ing om he inc ease in p oduc ion and con inuous p oduc ion, he quali y o manu ac u ed p oduc s (lesse quan i ies o de ec i e p oduc s), he e iciency and e ec i eness o p oduc ion ime and p oduc cus omiza ion. In e ms o he employmen ma ke , Szczepański (2019) a gues ha he implemen a ion o AI in he economy will con ibu e o job c ea ion, bu also o i s des uc ion. Job c ea ion will be he esul o he eme gence o new business a eas, esul ing om he implemen a ion o AI in he economy, while i s des uc ion will be based on he eplacemen o labo by mechanized p ocesses, mo e e icien , mo e inno a i e, and abo e all, p o i able o hei o ganiza ions. In his sense, Ve ma (2018) s a es ha all echnological e olu ions ha e co esponding cos s and colla e al damage, howe e , policies a e needed ha eed he g ow h and po en ial o AI, bu ha simul aneously ake in o accoun he possible isks ha his issue in ol es. Figu e 1. Impac o AI on GDP Sou ce: Adap ed om Gillham, Rimming on, Dance, Ve wij, Rao, Ba na d & Paich (2018: 6). Rod igues L. e al. / J INFORM SYSTEMS ENG, 8(1), 19002 3 / 7 The e is no doub ha AI suppo accoun an s and audi o s in hei main unc ion o p o ide, and c i ical analyze economic and inancial in o ma ion (Gulin e al., 2019). In ha sense, i is expec ed ha , accoun an s and audi o s pe cei e AI as a pa ne which augmen s hei in elligence wi h he abili y o exploi complex, oluminous, and ola ile da a (She i & Mohsin, 2021). Ne e heless, he conce n ha AI will limi accoun s ac ions and educe hei ole and hei powe in o ganiza ions s ill exis (Fa aj e al., 2018; Bee baum & Puaschunde , 2019). Acco ding o (Teck-Heng & Ali, 2008), he oo s o audi ing da e back o ancien ci iliza ions whe e he e m “audi ”, o igina ing om he La in wo d “audi e”, mean o lis en. In his pe iod, acco ding o B own (1962), i was common o hea he accoun ing o he pa imony egis e ed by he sc ibes, in o de o p e en possible audulen ac s agains he kingdom's pa imony. Howe e , nowadays acco ding o Dua e (2010: 9), audi ing as we know i oday can be de ined as “a se ice ha is cha ac e ized by he exp ession o an objec i e opinion on he inancial s a emen s o an en i y, e e ing o a se o s anda ds ha ha e he na u e o public in e es and ha con ibu e o inc easing he c edibili y o inancial in o ma ion”. Al hough, wi h he g ow h o he wo ld economy, de elopmen o he s uc u e and complexi y o companies and he g owing need o ansmi eal and ue in o ma ion o he a ious use s o inancial s a emen s, i is expec ed ha wi h he in oduc ion o AI in he p o ession hese changes will con inue. Fo his eason, By nes e al. (2018) e e ha audi ing is going h ough a c i ical si ua ion, esul ing om he p og ess o in o ma ion echnologies (IT) as well as he adop ion o new managemen models. Dalal (2015) a gues ha he signi ican inc ease in he wo ld popula ion, as well as he complexi y and na u e o economic ansac ions, will con ibu e o audi o s becoming inc easingly dependen on so wa e, making he execu ion o manual audi p ocedu es an inc easingly unusual app oach and ine icien in mos o ganiza ions. Nunes, Lei e, & Ped osa (2020) ha e he same unde s anding, who s a e ha wi h he g owing di icul y in ob aining in o ma ion o conclusions abou he inancial and non- inancial pe o mance o he audi ed en i y, i will be essen ial o in oduce ools wi h cogni i e abili ies in o de o minimize he isk o ma e ial miss a emen and ensu e he alue and c edibili y o he audi ed inancial s a emen s. Fo (Kokina & Da enpo 2017), he in oduc ion o AI in he audi p o ession will be an inc easingly ecu en ac , as only in his way will audi o s be able o analyze la ge se s o da a and, consequen ly, ensu e he eliabili y and e aci y o inancial s a emen s. I is concluded ha i is gene ally assumed ha he de elopmen o echnology as well as o o ganiza ions will make i di icul o ca y ou manual audi ing asks and, he e o e, will be ine i ably lead o he adop ion o ools endowed wi h cogni i e abili ies in o de o assis audi o s. Thus, in he ollowing poin s, i is in ended o iden i y how hese ools can be used in he di e en s ages o audi ing, iden i y he possible impac s o hei use, and inally, compa e he adi ional audi app oach wi h he app oach suppo ed by ools wi h cogni i e capabili ies. AI is no ye dominan in he audi ing p o ession, bu he e a e se e al au ho s who p esen some o he possible consequences ela ed o i s use. Fo Agnew (2016), he applica ion o AI in he a ea o audi ing will no lead o he eplacemen o ex inc ion o he p o ession, howe e , i will gi e ise o p o ound changes o he cu en app oach, allowing audi o s o be e manage ime in low- alue asks and g ea e emphasis on he a eas ha p esen he g ea es isk o ma e ial dis o ion. By nes e al., (2018), de ends ha some o hese consequences a e based on he au oma ion o audi asks and on he possibili y o ully analyzing an o ganiza ion's da ase s. This ansla es in o he uselessness o sampling echniques, which, acco ding o he same au ho , a e cha ac e ized as mo e ex ensi e and less e icien compa ed o examining en i e popula ions o da a. Fu he mo e, an Ame ican Ins i u e o Ce i ied Public Accoun an s (AICPA) s udy indica es ha he use o AI can mi iga e he isk o human a igue in he epe i i e analysis o an o ganiza ion's da a. Simul aneously, ecognizes ha hese ools may p esen he abili y o analyze huge olumes o da a and ecognize pa e ns, ela ionships and dis o ions ha a e no always e iden o audi o s, bu ha equi e hei knowledge and p o essional expe ience o assess ha he esul s a e ue and ma e ially ele an o he o e all audi con ex (AICPA, 2020). Gi en he abo e, Nunes e . al, (2020: 3) conclude ha when audi o s “alloca e mo e esou ces o mo e complex a eas, o in es iga e i ems ha a e po en ial anomalies, ob aining mo e scope o unc ions wi h a g ea e c i ical sense and p o essional judgmen ”. Issa, Sun, & Vasa helyi (2016) s a es ha he audi ing p o ession can gua an ee highe le els o quali y, e iciency and e ec i eness in ob aining esul s and a be e cos -bene i a io. Fo Ghanoum & Alaba (2020), i is possible ha echnological e olu ion will con e he audi ing p o ession in o a mo e p oac i e a he han a eac i e pe spec i e. Ci ing (B ennan e al., 2017), i is plausible ha he p o ession will ake a con inuous and eal- ime app oach, some hing con a y o wha is cu en ly seen, whe e he highes incidence o wo k occu s a e he accoun ing close o o ganiza ions. Thus, he issue o an opinion abou he inancial s a emen s by he audi o should become mo e oppo une in ela ion o he clien 's accoun ing closing (Issa e al., 2016). A he same ime, i is likely ha he p o ession will ha e a lowe le el o human in e ac ion, ha some audi p ocedu es will become obsole e and ha he exis ence o audulen ac i i ies and/o ma e ially ma e ial miss a emen s will be signi ican ly less. In he s udy o (AICPA, 2020), i is also men ioned ha i is possible ha he expec a ions o use s o he inancial s a emen s can be inc easingly highe in ela ion o he conclusions o he audi and, he e o e, ansla e in o a highe audi expec a ion gap. E en so, Agnew (2016) s a es ha despi e echnological de elopmen s in his ield, he p o ession's egula o s should de elop mechanisms ha ensu e co ec da a ex ac ion and analysis by audi o s, in o de o allow hem o ob ain easonable secu i y ega ding he ue iew o inancial posi ion based on inancial s a emen s. Rod igues L. e al. / J INFORM SYSTEMS ENG, 8(1), 19002 4 / 7 Table 1. T adi ional Audi App oach VS Audi App oach suppo ed by AI Sys ems Fon e: Adap ado de Issa, H., Sun, T., & Vasa helyi, M. A. (2016). Phase Assis ed app oach o AI sys ems T adi ional Audi App oach Planning Analysis o la ge amoun s o da a ela ed o he company's o ganiza ional s uc u e and i s accoun ing and inancial sys em. The audi o collec s and analyzes in o ma ion ela ed o he company's o ganiza ional s uc u e and i s accoun ing and inancial sys em. Con ac Following he p e ious phase, he le el o isk is es ima ed, as well as he es ima e o hou s needed o wo k. A commi men le e is p epa ed by he audi o , based on he es ima ed audi isk. Iden i ica ion o isk ac o s Pa e n de ec ion and analysis o iden i y isk ac o s. The audi o agg ega es he in o ma ion and uses his p o essional judgmen o iden i y isk ac o s. Con ol isk assessmen Moni o ing o con ols con inuously. Re iew o cus ome 's CI policies and p ocedu es. Tes he con ols. Subs an i e Tes s Conduc ing de ailed es s con inuously and on 100% o he popula ion, pe o med on he company's inancial posi ion (balance shee ). Se e al economic yea s can be analyzed. Con inuous pa e n ecogni ion. De ails es s a e ca ied ou by sampling, whe e hei na u e, ex en and iming depend on he IC es s. They a e un only o e one economic yea . Analy ical p ocedu es a e pe o med. E idence Assessmen This phase is in eg a ed in o he p e ious phase. The audi o assesses he su iciency and cla i y o he e idence ga he ed wi h a iew o ob aining easonable assu ance o he en i y's inancial posi ion. Audi epo The audi epo can be con inuous a he han ca ego ized (clean, quali ied, ad e se) Based on he in o ma ion collec ed in he p e ious phase, a clean, quali ied o ad e se opinion is issued. As men ioned in he p e ious poin , he in oduc ion o AI in he audi p o ession will b ing se e al changes in he cu en app oach ensu ing signi ican imp o emen s in he quali a i e and quan i a i e pano ama o he audi ing p o ession. In his sense, Table 1 (Suppo ed AI app oach s. adi ional audi app oach) p esen s he compa ison o he use o an assis ed audi app oach o AI sys ems wi h he adi ional audi app oach. Conce ning he planning, con ac ing and isk iden i ica ion phases, al hough he wo app oaches ha e he same pu pose, i is concluded ha he use o an AI assis ed app oach allows he collec ion and analysis o da a ha make i possible o es ima e he isk o audi ing, es ima e he hou s o wo k equi ed and iden i y pa e ns ha allow o he ecogni ion o isk ac o s ha he audi o should ake in o accoun . In he phases o subs an i e es ing and e alua ion o e idence, in he audi app oach h ough AI, he possibili y o pe o ming es s con inuously and on 100% o he popula ion is highligh ed, while in he adi ional app oach, es s a e pe o med by sampling and in unc ion o he us es ablished in he in e nal con ol. Finally, al hough he conclusion o he audi is ca ied ou in he same way o bo h app oaches, he possibili y is highligh ed ha , h ough he use o ools endowed wi h cogni i e abili ies, one can bene i om he possibili y o issuing an opinion wi h a mo e oppo une da e in ela ion o he accoun closing o cus ome s. METHODOLOGY In o de o con inue he discussion o he subjec o s udy, an empi ical s udy was ca ied ou in o de o assess he consequences esul ing om he use o hese ools. To achie e he objec i es de ined in his wo k, he quali a i e me hod was used h ough a su ey in he o m o a ques ionnai e, whose a ge audience includes s a u o y audi o s limi ed o he audi ing a ea o he Po o and B aga egions. This me hodology seemed mo e sensible and adequa e, o allowing easy compa abili y o da a and being able o ca y ou quan i a i e analyses, i p esen s g ea e simplici y o ea he da a s a is ically. Thus, he ques ionnai es we e ca ied ou wi h espec o he Like scale measu ed a i e poin s. Fo he cons i u ion o he sample, we e inqui ed audi o s egis e ed in he O dem dos Re iso es O iciais de Con as (OROC) and in he Comissão do Me cado e dos Valo es Mobiliá ios (CMVM) whose p o essional ac i i y is exe cised in Po ugal, headqua e ed in he egions o B aga and Po o. The popula ion o his s udy is cons i u ed o 37 s a u o y audi o s (OROC) om a uni e se o 60 dis ibu ed by 31 audi ing socie ies, ha ing ob ained a esponse a e o 61.67%. RESULTS AND DISCUSS In his poin , he answe s o he audi o s o he ques ionnai e e e ing o a i icial in elligence in he ield o audi ing will be analysed. Th ough he use coe icien s o co ela ion, which aim o measu e he ela ionship be ween a iables and wha hey ep esen , he ela ionship o he esponses ob ained wi h he esponden s' gende , age and yea s o expe ience will be analyzed. Fo his pu pose, he Pea son Coe icien was used, which suppo s esul s be ween -1 and 1, and i he esul is close o -1, he g ea e he nega i e co ela ion be ween a iables, whe eas i i is close o 1, he highe he posi i e co ela ion be ween a iables. I he co ela ion coe icien app oaches 1, he e is a posi i e ela ionship be ween a iables, ha is, i one a iable inc eases, he o he inc eases as well. On he o he hand, i he co ela ion coe icien app oaches is -1, he e is a nega i e o in e se ela ionship be ween a iables, ha is, when he alue o one a iable inc eases, he o he dec eases. I should be no ed ha since he gende a iable is a nominal a iable, i.e., a a iable whe e esponden s can only assume male o emale gende , alues o “1” o males and “2” o emales we e de ined. 5 / 7 Rod igues L. e al. / J INFORM SYSTEMS ENG, 8(1), 19002 1. Do you conside ha he u u e o he audi ing p o ession will en ail he implemen a ion o a i icial in elligence. Gende Q1 Age Q1 Expe iencie Q1 Gende 1 ,138 Age 1 ,090 Expe iencie 1 ,023 Q1 ,138 1 Q1 ,090 1 Q1 ,023 1 Signi i cance Le el ,416 Signi icance Le el ,598 Signi icance Le el ,892 N 37 N 37 N 37 2. A i icial in elligence will educe audi isk Gende Q1 Age Q1 Expe iencie Q1 Gende 1 -,120 Age 1 , 034 Expe iencie 1 ,128 Q1 -,120 1 Q1 , 034 1 Q1 ,128 1 Signi icance Le el , 481 Signi icance Le el , 481 Signi icance Le el , 451 N 37 N 37 N 37 3. A i icial in elligence will allow audi o s o gauge he e aci y o inancial s a emen s mo e e ec i ely and e icien ly. Gende Q3 Age Q3 Expe iencie Q3 Gende 1 -,122 Age 1 ,051 Expe iencie 1 -,091 Q3 -,122 1 Q3 ,051 1 Q3 -,091 1 Signi icance Le el ,471 Signi icance Le el ,764 Signi icance Le el ,593 N 37 N 37 N 37 4. A i icial in elligence will allow you o pe o m an audi on an ongoing basis. Gende Q4 Age Q4 Expe iencie Q4 Gende 1 -,004 Age 1 ,020 Expe iencie 1 ,109 Q4 -,004 1 Q4 ,020 1 Q4 ,109 1 Signi icance Le el ,982 Signi icance Le el ,908 Signi icance Le el ,520 N 37 N 37 N 37 In ques ion 1 (“Do you conside ha he u u e o he audi ing p o ession will in ol e he implemen a ion o a i icial in elligence”), we obse ed ha o he a iables de ined in he ques ionnai e, he Pea son Coe icien , always assumed a posi i e alue , namely, 0.138 o he gende a iable, 0.090 o he age a iable and 0.023 o he yea s o expe ience a iable. In ligh o he abo e, al hough bo h esul s we e posi i e, he alues a e ela i ely close o he alue 0 han o he alue 1, which means ha he wo a iables do no p esen a pe ec nega i e o pe ec posi i e co ela ion. In his sense, ha ing egis e ed in his ques ion a pe cen age o 72.97% o he op ions "ag ee" and "s ongly ag ee", i can be concluded ha he e is ag eemen by he sample ha he u u e o he audi ing p o ession will depend on AI implemen a ion. Wi h ega d o ques ion 2 (“A i icial in elligence will educe audi isk”), Pea son's was -0.120 o he gende a iable, 0.034 o he age a iable and 0.128 o he yea s o expe ience a iable. Al hough he co ela ion be ween he gende a iable and he answe s ob ained o his ques ion esul ed in a nega i e Pea son's , his is close o 0 han -1. The same happens o he o he a iables, which despi e assuming posi i e alues, he esul s a e close o he alue 0 han o he alue 1, hus ansla ing in o he inexis ence o dependence be ween a iables, ha is, ha as a a iable inc eases, does no inc ease on a e age he esponden 's deg ee o esponse o , on he o he hand, as he a iable age inc eases, he esponden 's deg ee o esponse does no dec ease on a e age. Thus, al hough he e is gene al ag eemen among he esponden s, i is no possible o say ha he audi isk will be educed h ough he AI, since o his ques ion he pe cen age o 24.32% was eco ded o he op ions "disag ee" and “ o ally disag ee”, 35.14% o he op ion “I nei he ag ee no disag ee” and 40.54% o he “ag ee” and “ o ally ag ee” op ions. Rega ding ques ion 3 ("A i icial in elligence will allow audi o s o assess he e aci y o inancial s a emen s mo e e ec i ely and e icien ly"), a Pea son's o -0.122 was ob ained o he gende a iable, 0.051 o he age a iable and -0.091 o he a iable yea s expe ience. Thus, despi e he co ela ion be ween he esponses ob ained and he a iables gende and yea s o expe ience assuming nega i e alues, he esul s a e Rod igues L. e al. / J INFORM SYSTEMS ENG, 8(1), 19002 6 / 7 much close o 0 han o -1. The same happens o he age a iable, which, al hough i assumes a posi i e alue, is close o 0 han o 1, hus demons a ing he inexis ence o a pe ec posi i e o pe ec nega i e co ela ion. In his sense, ha ing egis e ed a pe cen age o 67.57% o he le els “ag ee” o “ag ee a lo ”, we we e able o conclude ha he e is ag eemen among he esponden s o his ques ion. In ques ion 4 (“A i icial in elligence will allow you o pe o m a con inuous audi ”), a Pea son Coe icien o -0.004 o he gende a iable, 0.020 o he age a iable and 0.109 o he yea s o expe ience a iable was ob ained. Gi en he esul s ob ained, we can conclude ha he e is no pe ec posi i e o pe ec nega i e co ela ion and ha he a iables do no depend linea ly on each o he . Ne e heless, al hough he op ions “ag ee” and “s ongly ag ee” eached a pe cen age o 54.05%, i is impo an o men ion ha he op ion “nei he ag ee no disag ee” egis e ed a pe cen age o 40.54%. Thus, al hough a signi ican pa o he sample ag ees ha AI will allow a con inuous audi o be pe o med, ano he one abs ains om elec ing a posi ion, ce ainly, la gely because o he unce ain y ha cu en ly exis s ela ed o he use o hese sys ems, since i s ill hey a e no ully in oduced o he p o ession. FINAL CONSIDERATIONS I is e iden ha o e he yea s, echnological e olu ion has gene a ed signi ican impac s on he social and p o essional le el o human beings. Howe e , h ough he de elopmen o AI, majo changes a e in p ospec in he mos di e se a eas o human knowledge, especially in he audi p o ession, whe e h ough he e olu ion o he economy and, consequen ly, he size o o ganiza ions, i becomes inc easingly un easible he execu ion o manual p ocedu es. In addi ion, he demands on he pa o he use s o he DF a e inc easing, seeking o know wi h g ea e accu acy and eliabili y he s a e o he inancial posi ion o he audi ed en i y. I appea s ha i is gene ally accep ed ha he AI will ha e an impac on he cu en audi app oach and, consequen ly, will gene a e epe cussions in e ms o he e iciency and e ec i eness o audi p ocedu es, audi sampling, in he ecogni ion o ma e ial miss a emen s due o aud o e o , as well as in he cos -bene i a io o he p o ession. Addi ionally, audi o s ecognize ha he in oduc ion o hese mechanisms in o he p o ession may make i possible o ca y ou an audi in a con inuous app oach. I should be no ed ha he abo e conclusions we e e i ied ega dless o he age, gende o yea s o expe ience o he esponden s, ha is, h oughou his s udy he e was no posi i e o nega i e co ela ion be ween he esponses ob ained and he di e en a iables, hus e lec ing ha p o essionals audi ecognize ha new echnologies will change he cu en pa adigm o he p o ession. E en so, al hough in some poin s o his s udy he esul s we e no as exp essi e, his esul can be jus i ied by he ac ha hese ools a e no ye ully inse ed in he p o ession, and, he e o e, he e is some ese a ion abou he impac o AI in some dimensions. Al hough his s udy is dedica ed o analyzing he impac o AI on he audi p o ession, in a b oad sense AI will con ibu e o signi ican impac s a he le el o p oduc i i y as well as he employmen ma ke . Wi h ega d o u u e esea ch, as he e a e u he de elopmen s in he ield o AI applied o audi ing and, simul aneously, he co esponding applica ion o hese mechanisms in he con ex o he p o ession, he e will be g ea e isibili y o he impac s ela ed o he use o hese ools and, he e o e , i will be possible o analyze whe he he e will be epe cussions a he le el o he employmen ma ke , a he le el o ela ions be ween audi eams and/o be ween audi o and audi ee, as well as a he le el o independence o audi o s ega ding hese ools. REFERENCES Agnew, H. (2016). 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