Reinforcement learning ppt

1. Group - 8
Privacy ACT - Legal
Policies.

2. GROUP MEMBERS
20M IM10011
20M IM10002
AKHIL DAS K
NIRANJAN NV
20M IM10084
20MIM10095
20M IM10108
SAJIN SHA
SOORYA NARAYANAN DR
VISMAYA SATHEESH
20M IM10071 M IDHUN M NAIR
Submitted to: Dr Arpita Baroni

3. INTRODUCTION
Reinforcement learning (RL) involves the collection and use of data, which can
raise privacy concerns. Therefore, there are several legal policies and
regulations that apply to reinforcement learning to protect the privacy of
individuals and ensure ethical and responsible use of the technology.

4. Here are major four of the legal policies and regulations
related to reinforcement learning:
1) GDPR
2) HIPAA
3) FCRA
4) Ethical Guidelines

5. General Data Protection Regulation (GDPR)
o The GDPR is a European Union regulation that governs the processing
of personal data.
o It sets out strict requirements for the collection, processing, and storage
of personal data, including data used in reinforcement learning.
o Companies using RL algorithms need to comply with the GDPR to
ensure the privacy and security of individuals' data.

6. o The GDPR establishes that a single supervisory decision is taken in
cross-border cases where several national supervisory authorities are
involved.
o This principle, known as the ‘one-stop-shop’ principle, means that a
company with subsidiaries in several member states will only have to deal
with the data protection authority in the member state of its main
establishment.

7. Health Insurance Portability and Accountability Act (HIPAA):
HIPAA is a US federal law that regulates the handling of medical and personal health information.
Companies using reinforcement learning in healthcare settings need to comply with HIPAA regulations
to ensure the privacy and security of patient data.
There are mainly 5 major components of HIPAA:
➢ HIPAA Health Insurance Reform
➢ HIPAA Administrative Simplification
➢ HIPAA Tax-Related Health Provisions
➢ Application and Enforcement of Group Health Plan Requirements.
➢ Revenue Offsets

8.  HIPAA Health Insurance Reform. This protects health insurance coverage
for individuals who lose or change jobs. It also prohibits group health plans
from denying coverage to individuals with specific diseases and preexisting
conditions and from setting lifetime coverage limits.
 HIPAA Administrative Simplification. This directs the U.S. Department of
Health and Human Services (HHS) to establish national standards for
processing electronic healthcare transactions. It also requires healthcare
organizations to implement secure electronic access to health data and to
remain in compliance with privacy regulations set by HHS.

9.  HIPAA Tax-Related Health Provisions. This includes tax-related provisions and
guidelines for medical care.
 Application and Enforcement of Group Health Plan Requirements. This further
defines health insurance reform, including provisions for individuals with preexisting
conditions and those seeking continued coverage.
 Revenue Offsets.This includes provisions on company-owned life insurance and the
treatment of those who lose their U.S. citizenship for income tax purposes.

10. Fair Credit Reporting Act (FCRA)
● The FCRA is a US federal law that governs the collection, use, and
dissemination of consumer credit information.
● Companies using RL algorithms for credit scoring or other financial
decision-making need to comply with FCRA regulations to ensure fair and
ethical use of data.
● It make automated decisions based on information from a third-party
vendor, you may be required to provide the consumer with an “adverse
action” notice.

11. • It must give consumers access and an opportunity to correct information
used to make decisions about them.
• It must provide data about consumers to others to make decisions about
consumer access to credit, employment, insurance, housing, government
benefits, check-cashing or similar transactions, you may be a consumer
reporting agency that must comply with the FCRA, including ensuring that
the data is accurate and up to date.
• It must provide data about your customers to others for use in automated
decision-making, you may have obligations to ensure that the data is
accurate, even if you are not a consumer reporting agency.

12. Ethical Guidelines for Artificial Intelligence:
 Several organizations, including the IEEE and the European Commission,
have developed ethical guidelines for the development and use of artificial
intelligence, including reinforcement learning.
 These guidelines provide a framework for ensuring responsible and
ethical use of RL algorithms, including issues related to privacy, bias, and
transparency.

13.  In general, most entities’ AI principles to develop safe, ethical,
responsible, trusted, and acceptable AI have coalesced around a set of
five areas
✔ Trust And Transparency
✔ Accountability
✔ Social Benefit
✔ Privacy And Security

14. ✔ Trust and transparency- Since many AI systems are black boxes or
unintelligible to human beings, there is often a need for explainability /
interpretability.
✔ Accountability- AI systems are often the result of a complex supply chain that
may involve data providers, data labelers, technology providers, and systems
integrators.
✔ Social benefit- Many technology providers and countries stipulate in their
principles that AI should be used for the greater good of society.
✔ Privacy and security- As AI systems are trained and then used to
differentiate treatment, they need to respect individuals’ privacy.

15. Conclusion
 Overall, there are several legal policies and regulations related to
reinforcement learning that aim to protect individuals' privacy and ensure
ethical and responsible use of the technology.
 Companies using RL algorithms need to comply with these policies and
regulations to ensure the privacy and security of individuals' data and to
build trust and acceptance of the technology.

16. Thank You