Artificial Intelligence (AI) poses several potential risks to humans, primarily due to its rapid advancement and widespread adoption. One significant concern is job displacement, as AI and automation technologies can replace human workers in various industries, leading to unemployment and economic challenges. Additionally, AI systems can exhibit biases, as they often learn from historical data that may contain inherent prejudices. This can result in unfair treatment in areas such as hiring, law enforcement, and lending. Privacy concerns also arise with AI, especially regarding data collection and surveillance, which can lead to invasions of personal privacy and misuse of information. Moreover, AI can be weaponized for malicious purposes, such as creating deepfakes or conducting cyber-attacks, posing severe security threats. The concentration of AI development and deployment power in the hands of a few large corporations and governments raises ethical concerns about accountability and control. Furthermore, as AI systems become more autonomous, there is a risk of losing control over their actions, leading to unintended consequences that could harm individuals or society as a whole. To mitigate these risks, it is crucial to establish robust regulations, promote ethical AI development, and ensure transparency and accountability in AI systems.