Risks & Challenges of AI
π» 1. Job Loss
AI can automate tasks that were once done by people like customer service, data entry, and even driving. While this can improve efficiency, it also means that some jobs may disappear or change, especially in industries like manufacturing, retail, and transportation.

π 2. Privacy Concerns
AI systems often use large amounts of personal data to learn and make decisions. If not handled carefully, this can lead to privacy problems. For example, facial recognition or targeted ads may use information without people fully knowing how or why.
a. Data Collection Without Consent
Many AI-powered apps and websites collect user data β such as location, search history, and voice recordings β without clearly asking for permission.
b. Data Leaks and Hacks
If companies or organizations storing personal data are not careful, that information can be stolen by hackers.
c. Lack of Transparency
AI systems donβt always explain why they collect certain data or how they use it.
π 3. Deepfakes & Misinformation
AI tools can now create fake images, videos, and text that look very real β these are called deepfakes. While fun in some cases, they can also be used to spread false information or deceive people online. Understanding these risks is the first step toward using AI responsibly. Developers, governments, and users must work together to build systems that are fair, transparent, and safe for everyone.