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Is Artificial Intelligence The Future Tool For
Anti - Corruption?
The World Bank report suggests that the amount of goods and services that
governments purchase to discharge their official business is a staggering $10
trillion per year – and is estimated at 10 to 25 percent of global GDP. Unless an
effective public scrutiny mechanism is not in place, there are high chances of the
money being lost to corruption.
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To address these issues, citizens are now demanding a more transparent
mechanism to ascertain the process of government contracts. Corruption is like an
octopus which has its tentacles dangling in every sphere of our society. It hurts the
poor most as access to basic essential services and necessities like health,
education, and nutrition is reduced.
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The fight against corruption has taken a new dimension with Artificial Intelligence,
a technology where its power can be harnessed to promote transparency in all
aspects of government administration. Artificial Intelligence (AI) can be seen as an
effective tool to combat corruption given its potential to handle big data. It is
packed with the ability to detect patterns or anomalies, especially in a financial
transaction. With systems and procedures riding on the wave of digitization, it
presents a greater opportunity to leverage the data and red flag incidents which
indicate corruption and other risks associated.
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A study carried out by the Higher School of Economics (HSE), and the University
of Valladolid predicts that data analysis can detect corruption. In January last year,
researchers from Valladolid, Spain, created an Artificial Intelligence system which
can predict the risk of corruption in Spanish provinces and other variables
associated with greater corruption such as the establishment of new companies,
real estate tax, housing prices, the opening of bank branches and others.
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Let us analyze the possibilities of artificial intelligence as a future tool for
anti-corruption.
Corporations can implement artificial intelligence to design more effective and
efficient internal compliance programs. Artificial intelligence can assist- through
analysis of relevant laws and regulations- decision makers to make accurate
decisions using past cases of compliance or non-compliance.
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The AI system has the ability to understand the context and content of regulations
and learn to recognize the patterns with respect to compliance and
non-compliance. This will help to identify risk areas which will allow corporations to
build an individualized compliance program. In the case of subsequent revision,
the same can be incorporated without any human intervention.
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Just like Spanish researchers developed a tool to predict corruption, governments
can use artificial intelligence systems to identify potent vulnerabilities, both by
sector and geographic locations. This will enable governments to target their
efforts and focus more on strict measures in possible risky areas. AI will also
assist to identify loopholes with the national or regional regulatory framework and
send out alerts when required.
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Artificial Intelligence can assist in Anti-Money laundering contexts as well. This
will help investigators by increasing the efficiency and accuracy of detection and
due diligence. Artificial Intelligence technology also helps to reduce “false
positives” in banks’ current transaction monitoring systems (TMS). A PWC
industry survey states that 90% to 95% of all alerts are false positives as the
traditional transaction monitoring systems are built on unsophisticated model
extracting data from fairly broad/crude human-identified risk factors.
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Although there have been questions and issues revolving around the ways
artificial intelligence is applied in society, citing the risk of privacy and individual
freedom as an important matter. But, the lack of transparency in governments and
corporations around the world along with misappropriation of resources is
widespread and causes a hindrance to economic development. Artificial
Intelligence has the potential to unearth the truth hiding amid thickets of data, and
in so doing empower both public and private sector actors to fight corruption more
effectively.
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