Adressing AI-Induced Privacy Breaches and Data Protection Challenges.pptx
aileenramacho2
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Jul 24, 2024
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About This Presentation
Research Proposal
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Language: en
Added: Jul 24, 2024
Slides: 5 pages
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Adressing AI-Induced Privacy Breaches and Data Protection Challenges in the Philippines
SUMMARY The rapid advancement of Artificial Intelligence (AI) technology has raised concerns about the potential risks it poses to privacy and data protection. In the context of the Philippines, where data privacy laws are in place but challenges exist in enforcement and implementation, this research aims to analyze the causes and impacts of AI on breaches of privacy and data protection. The technology's potential to infer sensitive information, such as a person's location, preferences, and habits, poses risks of unauthorized data dissemination. Coupled with the potential for identity theft and unwarranted surveillance, AI presents a unique set of challenges that demand immediate proactive solutions.
BACKGROUND AND PROBLEM OF THE STUDY The Philippines has witnessed a rapid digital transformation, with Ai becoming increasingly prevalent in a number of fields, including banking, healthcare, and government. While artificial intelligence (AI) has many advantages in terms of productivity, automation, and creativity, it also poses serious risks in terms of data security and privacy. The use of Ai technologies raises the possibility of unauthorised access to personal data and privacy breaches, which could jeopardise people’s right to privacy. Republic Act No. 10173, also known as the Data Privacy Act of 2012(DPA), aims to protect personal data in information and communications systems both in the government. AI algorithms are so complicated, it might be difficult to comprehend how personal data is handled, which increases the risk of data misuse and privacy violations. The specific privacy issues brought up by AI technologies may not be sufficiently addressed by current data protection rules, leaving gaps that can be used to violate people's privacy.3.AI systems may be biased or discriminatory, infringing on people's right to privacy and causing privacy breaches. It's possible that stakeholders are unaware of the possible dangers posed by AI and have insufficient information about how to safeguard privacy in the digital era. Using AI systems could make data more susceptible to online attacks, which could result in unwanted and the private sector. The DPA created the National Privacy Commission (NPC) which is tasked to monitor its implementation.
BENEFICIARIES This proposal aims to develop a sustainable and scalable solution. The beneficiaries of this research includes the following: Government and Regulatory Bodies: The research findings can help regulators and policy makers identify holes in current frameworks and the need for new rules to address privacy threats associated with AI. Enterprises and Organizations: It can help companies build strong privacy safeguards into their AI systems, lowering the risk of data breaches and raising customer confidence. Technology Providers and AI Developers: The suggested solutions can help tech providers and AI developers create ethically sound and privacy-respecting AI systems, encouraging responsible innovation. General Public and Consumers: People in the Philippines can gain from improved data security and a lower chance of privacy violations by improving privacy protections in AI systems.
PROPOSED SOLUTION TO THE PROBLEM One potential solution is to create a robust data governance for AI systems that incorporates these elements: Establish comprehensive data protection policies and practices: Develop and implement stringent data protection policies that align with regulations like General Data Protection Regulation (GDPR). This includes measures such as secure data storage, access controls, and regular security audits to ensure the confidentiality, integrity, and availability of personal data. Implement advanced data techniques: Leverage state-of-the-art data methods, such as differential privacy to transform personal data into non-identifiable forms. This allows for the beneficial use of data in AI applications while effectively protecting individual privacy. Empower users with data control mechanisms: Provide individuals with intuitive and user-friendly interfaces to access, review, correct, and delete their personal data collected by AI systems. This gives users transparency and control over how their information is being used, fostering trust and accountability. This should be regularly reviewed, updated, and audited to ensure ongoing compliance and adaptation to evolving privacy requirements. By implementing this comprehensive solution, organizations can significantly reduce the risks of AI on privacy and data protection, while still enabling the responsible and beneficial use of AI technologies. This approach balances the need for innovation and data-driven insights with the fundamental right to privacy, creating a trusted and ethical AI ecosystem.