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Last Updated: 2025-01-15 ~ Audrey Sarlin ~ DPDP Consultants
Is your AI business in
compliance with India’s new DPDP Act? Let’s discuss the impact of the law on AI
and the dos and don’ts for you to follow.
The use of artificial
intelligence (AI) continues to surge across industries. A 2022 survey reveals
that the AI adoption rate in businesses worldwide grew nearly 2.5 times in 2022
compared to its adoption rate in 2017.
Businesses leverage AI for
enhanced efficiency, data analysis, and personalized user experiences.
Advancements in machine learning and automation contribute to this growth.
In response to this rapid
development, regulatory bodies have issued guidelines and rules to safeguard
consumer privacy and maintain robust data protection. These documents outline
compliance requirements for organizations seeking to use artificial intelligence
and machine learning technologies while upholding fundamental data protection
and privacy rights. While other countries have been engaged in discussions and
crucial decision-making to safeguard information, India has only recently
actively participated in this collective endeavour.
In August 2023, the Indian
parliament enacted the Digital Personal Data Protection Act, aiming to protect
the rights and responsibilities associated with the management of extensive
digital personal data within the economy.
How does the Digital
Personal Data Protection Act(DPDPA) affect AI?
India is also experiencing
significant growth in AI adoption rates. It was the sixth leading country in
terms of AI investment in 2022.
AI and machine learning
heavily rely on extensive data collection to mimic human behaviour. The success
or failure of a machine learning algorithm is intricately tied to the
availability of a vast amount of data.
Though the DPDPA does not
specifically address Artificial Intelligence, its fundamental principle is to
acknowledge individual rights and safeguard data. It mandates permitting the
processing of personal data solely for lawful purposes.
When does this law
impact you?
If you handle personal
data, be it collecting, storing, analyzing, or sharing, either within India or
abroad in connection with activities related to offering goods or services to
individuals in India, and you determine how and why this data is processed, you
are subject to the DPDPA.
Your AI business might be
gathering personal data through various means:
The DPDPA won’t apply
to your AI data model if:
It solely uses publicly
available data, freely accessible because the data principal or someone legally
obligated has made it public.
It’s exclusively used for
statistics, research, or archival purposes, adhering to prescribed standards
and refraining from making specific decisions about a data principal.
Prerequisites for using
Personal Data
Section 4 of the DPDP Act
stipulates that processing personal data of a Data Principal is allowed only
with valid consent or for legitimate uses, as detailed in Section 7 of the DPDP
Act.
Source: Meity.gov
To train AI models, owners
need either consent or justification within one of the legitimate uses.
When processing
personal data for training algorithms, key obligations include:
Processing User Data
The Act outlines
requirements for processing user data:
Decision-making AI Models
Ensure completeness,
accuracy, and consistency of personal data processed if your AI models
influence decisions for data principals.
Prohibited AI Models
Significant Data
Fiduciary Obligations
Integrating Third-party
AI
Challenges in
Fulfilling Deletion and Other DSR Requests
After meeting Notice
requirements under Section 5 of the DPDP Act and assuming Data Principal
consent, complying with certain obligations in Section 8 becomes impossible for
Data Fiduciaries. Specifically, Section 8(3)(b) mandates completeness,
accuracy, and consistency of data when influencing decisions.
Source: Meity.gov
These vague requirements
pose difficulties in continuous monitoring. For instance, users can manipulate
Large Language Module models to generate inaccurate data about a Data
Principal, raising questions about rectifying non-compliance. Another challenge
involves implementing a practical DSR framework with four rights outlined in
Chapter III of the DPDP Act. The Right to Access and Correction/Erasure
requires identifying the data set storing personal data, which poses technical
challenges.
Developing features like
Machine Unlearning via Neuro Masking, proposed by Columbia University
researchers, is still in its early stages, making compliance with such
mandatory Data Principal Requests daunting in the current landscape.
Is your AI Business
Compliance-Ready?
The DPDPA is set to
introduce varied compliance demands for businesses. This includes formulating
data protection policies, appointing a Data Protection Officer (DPO),
performing data protection impact assessments, and adhering closely to defined
data protection principles.
As this legislation takes
effect, businesses, Data Fiduciaries, and Consent Managers should tread
cautiously to prevent potential pitfalls that might result in substantial
non-compliance fines. These penalties will contribute to the Consolidated Fund
of India rather than benefiting Data Principals.
To tackle these challenges
and adhere to the DPDPA framework, businesses can leverage the expertise of
DPDP consultants in India, who offer valuable support in understanding and
aligning with the complexities of this new regulatory landscape. DPDPA Consultants
devise tailored solutions to meet your organization’s specific needs.
Manage Data Privacy Compliance Seamlessly With DPDP
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for expert advice from top consultants?
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consulting or tool-based technical solutions, DPDP
Consultants can help
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