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Introduction to AI and Personal Privacy  

Definition of Artificial Intelligence  

Overview of Personal Privacy in the Digital Age  

The Role of AI in Data Collection  

Mechanisms of Data Acquisition  

Social Media Platforms  

IoT Devices  

The Scale of Data Collection  

Volume of Data Generated  

Types of Data Collected  

Unseen Threats to Personal Privacy  

AI-Powered Surveillance  

Facial Recognition Technology  

Predictive Policing  

Data Mining and Profiling  

Behavioral Targeting in Advertising  

Implications for Personal Autonomy  

Ethical Considerations  

Consent and Transparency  

The Role of Regulation and Governance

Unseen Threats: How AI Challenges Personal Privacy in the Digital Age  

<div class="simple-box-wrapper"><div class="simple-box"><div class="column" flex-size="undefined"><p>As artificial intelligence continues to permeate various facets of daily life, the implications for personal privacy become increasingly complex and concerning. The digital age has ushered in an era where vast amounts of personal information are collected, analyzed, and utilized at unprecedented scales.&nbsp;</p><p>This dynamic landscape raises critical questions about the nature of privacy itself and the extent to which individuals can maintain control over their personal data in a world driven by AI technologies. Understanding these challenges is essential, especially as the boundary between convenience and privacy blurs in an age dominated by connectivity and data-driven decision-making.</p><p>This course, "Unseen Threats: How AI Challenges Personal Privacy in the Digital Age," aims to dissect the multifaceted relationship between artificial intelligence and personal privacy. Participants will explore the mechanisms through which data is harvested from various sources, including social media platforms and Internet of Things (IoT) devices, and the sheer volume of data generated daily.&nbsp;</p><p>More critically, the course will delve into the unseen threats posed by AI, such as advanced surveillance techniques and behavioral profiling, and examine the ethical considerations surrounding consent, transparency, and the regulatory frameworks that govern these technologies.&nbsp;</p><p>By equipping learners with a thorough understanding of these issues, the course seeks to foster a more informed discourse on personal autonomy and the safeguarding of privacy in an increasingly AI-driven world.</p></div></div></div>