Detecting AI-generated images has become increasingly important as artificial intelligence continues to produce highly realistic visuals. To identify such images, consider the following approaches:

1. Metadata and File Examination: Review the image’s metadata, known as EXIF data, which typically contains details like the device used, settings, and timestamps. AI-generated images often lack this information or display inconsistencies, as they aren’t captured by physical cameras.

2. Visual Artifact Analysis: Closely inspect the image for anomalies. AI-generated visuals may exhibit unnatural textures, inconsistent lighting, or distorted features. For instance, artifacts like irregular patterns or unnatural edges can be indicative of AI synthesis.

3. Using Detection Tools: Employ specialized software designed to identify AI-generated content. Tools such as AI Or Not and Illuminarty analyze patterns and inconsistencies within images to determine their authenticity. However, it’s essential to note that the effectiveness of these tools can vary, and they may not always provide definitive results.

4. Digital Watermarking and Content Credentials: Some organizations embed digital watermarks or metadata into AI-generated images to indicate their origin. Initiatives like Adobe’s Content Credentials and Google's SynthID aim to provide transparency by attaching information about an image’s creation and modifications. Checking for such credentials can help identify AI-generated content.

Combining these methods helps you detect AI-generated images, but it’s important to remain cautious, as AI technology continues to evolve, making detection increasingly challenging.