Information technology to some extent has changed the landscape of the accounting process and thus, the accountants will have to be alert of the technological changes to remain relevant. The emerging of IR 4.0 has been discussed in many platforms abroad, yet little is known if any, on Artificial Intelligence (AI) and accountants especially in the context of Malaysia. Artificial Intelligence (AI) is a technology that enables machine to learn quickly in real time and it can be applied to the whole organization. It was predicted that when industries adopt AI at full scale, most of the traditional accounting processes would be driven by machine and this implied that the traditional accountants’ functions must be redefined or remodelled. Thus, the objective of the study is to investigate the job scope and roles of accountants in AI environment companies as well as to develop an AI implementation model. This study adopts qualitative method using interviews with accountants in the industry and in accounting/audit firms who work in the AI setting companies. Accountant’s nature of work, tasks and changes to the traditional accountant’s task would be investigated. Further subjects could be identified via snowballing methods, by asking for similar companies that practice AI in their operations. Thus, it will help to resurface the important elements of how accountants job scope and roles would be under the AI settings. Data will be analysed using thematic analysis. It is expected that the outcomes from the findings will be a model to assist the government especially in accelerating the adoption as well as the implementation and extending the full benefits of Artificial Intelligence among professionals. This study could contribute to achieve the national agenda outlined in NITA and TN50 by increasing the implementation of AI (innovation) among accountants.

1.
Agnew
,
H.
(
2016
).
Auditing: Pitch battle. Financial Times (May 9
). Available at: https://www.ft.com/content/268637f6-15c8-11e6-9d98-00386a18e39d.
2.
Al-Htaybat
,
K.
&
Alberti-Alhtaybat
,
L. von
(2017).
Big Data and corporate reporting: impacts and paradoxes
.
Accounting, Auditing and Accountability Journal.
2017
;
30
;
4
:
850
873
.
3.
Belkaoui
,
A. R.
(
2010
). Financial Accounting Theory.
3rd Ed
.
Australia
:
Cengage Learning
.
4.
Braun
,
V.
&
Clarke
,
V.
(
2006
).
Using thematic analysis in psychology
.
Qualitative Research in Psychology
,
3
,
77
101
.
5.
Cheah
S. L.
&
Farzana
P. T.
(2020).
Usage and impact of Artificial Intelligence on Accounting: Evidence from Malaysia Organizations
.
Asian Journal of Business and Accounting
, Volume
13
, Issue
1
, June
2020
, Pages
213
239
.
6.
Davenport
,
T. H.
, &
Kirby
,
J.
(
2016
).
Just how smart are smart machines?
.
MIT Sloan Management Review
,
57
(
3
),
21
.
7.
Dickson
,
B.
(
2018
).
7 surprising companies where you can work on cutting-edge AI technology, TNW
(https://thenextweb.com accessed on 3/3/2019).
8.
Drew
,
J.
(
2017
).
Real talk about artificial intelligence and blockchain
.
Journal of Accountancy
,
224
(
1
),
22
.
9.
Fontana
,
A.
, &
Frey
,
J. H.
(
1990
). Interviewing: the art of science. In
Denzin
,
N. K.
, &
Lincon
,
Y. S.
(Eds),
Handbook of qualitative research
.
Thousand Oaks, CA
:
Sage Publications
,
361
376
.
11.
Gou
L.
,
Shi
,
F.
, &
Tu
,
J.
(
2016
).
Textual analysis and machine leaning: Crack unstructured data in finance and accounting
.
The Journal of Finance and DataScience
,
2
(
3
),
153
170
.
12.
Kokina
,
J.
, &
Davenport
,
T. H.
(
2017
).
The emergence of artificial intelligence: How automation is changing auditing
.
Journal of Emerging Technologies in Accounting
,
14
(
1
),
115
122
.
13.
Lee
,
D.
(
2016
).
KPMG recruits IBM Watson for cognitive tech audits, insights
.
Accounting Today
,
8
.
14.
Marcello
,
S.
,
Ray
,
T.
,
Carmichael
,
D.
,
Peterson
,
J.
&
Ramamoorti
,
S.
(2017).
The Future of Auditing: A Roundtable Discussion
.
The CPA Journal.
2017
:
39
57
15.
Moed
,
J.
(
2018
).
Joining Human & Artificial Intelligence in Malaysia to build the world’s most efficient workforce, Forbes
. (https://www.forbes.com/sites/
16.
Nadimpalli
,
M.
(
2017
).
Artificial intelligence risks and benefits
.
Artificial intelligence
,
6
(
6
).
17.
Omar
,
S. A.
,
Hasbolah
,
F.
, &
Zainuddin
,
U. M.
(
2017
).
The Diffusion of Artificial Intelligence in Governance of Public Listed
18.
Companies in Malaysia
.
International Journal of Business, Economics and Law
,
14
(
2
).
19.
Pikri
,
E.
(
2018
).
3 Frustrated Entreprenuers Teamed up to solve SMEs’ Biggest Nigtmare - Accounting. Vulcan Post
. https://vulcanpost.com/639245/beacon-systems-ai-accounting-sme-malaysia/
20.
Salkind
,
N. J.
(
2003
).
Exploring Research
(
5th Edition
).
New Jersey
:
Prentice Hall
.
21.
Shimamoto
,
D. C.
(
2018
). Why Accountants Must Embrace Machine Learning.
IFAC
. https://www.ifac.org/global-knowledge-gateway/technology/discussion/why-accountants-must-embrace-machine-learning.
22.
Sutton
,
S. G.
,
Holt
,
M.
, &
Arnold
,
V.
(
2016
). “
The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting
.
International Journal of Accounting Information Systems
,
22
,
60
73
.
23.
Tariq
,
Q.
(
2018
). Spotlighting five innovative startups in Malaysia,
Tech News
, NST online (26 Feb, 2018).
24.
Teck
,
W.
(
2018
). Why machines and artificial intelligence will not replace accountants,
RSM
Singapore
(10 Oct 2018).
25.
Top 10 of Malaysia
. (
2019
).
Top 10 Companies In Malaysia Dealing with Artificial Intelligence
. Retrieved from http://top10malaysia.com/main/top-10-companies-in-malaysia-dealing-with-artificial-intelligence/
26.
Whitehouse
,
T.
(
2015
).
The technology transforming your annual audit
.
Compliance Week.
27.
Zehong
Li
, &
Li
Zheng
. (
2018
).
The Impact of Artificial Intelligence on Accounting
.
Advances in Social Science, Education and Humanities Research (ASSEHR)
,
181
,
813
816
.
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