1. Inaccurate voice assistants: When voice assistants like Siri, Alexa, or Google Assistant misinterpret user commands, it can be frustrating for users who need to repeat themselves multiple times or correct the AI's mistakes.

2. Ineffective chatbots: Poorly designed chatbots may not understand user queries or provide irrelevant responses, leading to dissatisfaction and annoyance for users seeking assistance or information.

3. Intrusive recommendations: AI-powered recommendation systems may sometimes suggest irrelevant, repetitive, or overly personalized content that can feel invasive and annoying to users.

4. Spam filters: Overzealous AI-based spam filters might mistakenly classify legitimate emails as spam or fail to catch actual spam messages, causing users to miss important communications or deal with unwanted content in their inbox.

5. Biased algorithms: AI systems that incorporate biases or exhibit discriminatory behavior can lead to unfair treatment, frustration, and dissatisfaction for users affected by the bias.

6. Invasive advertising: AI-driven advertising platforms that track user behavior and serve overly personalized or obtrusive ads can be annoying and raise privacy concerns.

7. Inaccurate voice assistants: Voice assistants that frequently misunderstand commands, require users to speak unnaturally, or provide incorrect information.

8. Poorly targeted recommendations: Recommendation engines that suggest unrelated or inappropriate content, products, or services, or repetitively push the same items.

9. Overzealous spam filters: Spam filters that incorrectly label legitimate emails as spam, causing users to miss important messages, or that allow spam emails to bypass the filter.

10. Biased facial recognition: Facial recognition systems that exhibit racial, gender, or age biases, leading to incorrect identification or discriminatory treatment of certain groups.

11. Autoplaying videos: AI algorithms that automatically play videos on social media or news websites, consuming bandwidth and disrupting user experience.

12. Inaccurate language translation: AI-powered language translation tools that produce incorrect or nonsensical translations, causing confusion or miscommunication.

13. Poorly designed AI in video games: AI-controlled characters or opponents in video games that exhibit irrational or repetitive behavior, diminishing the overall gaming experience.

14. Invasive surveillance systems: AI-powered surveillance systems that indiscriminately monitor and analyze people's activities, raising privacy and ethical concerns.

Annoying AI often results from inadequate training data, insufficient understanding of context or user needs, or a lack of thorough testing and refinement. Improving AI system design, data quality, and user experience can help address these issues and minimize user frustration.