Sarcasm detection, which AI fails at since it processes language literally. AI when you talk to ai , interprets the input on surface level of words, and doesn't really consider things like tone or context — let alone intent. Scientists at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) say that the reason for this misunderstanding is that AI systems typically lack the subtle understanding humans get from facial gestures, tone of voice and social context. As in, "Oh great. If a human says, "Oh great. Another rainy day," an AI may miss the sarcasm and will likely respond as if someone is really excited about the weather.
Indeed, one of the most difficult problems in natural language processing (NLP) has been sarcasm detection. In a study conducted at the University of California, sarcasm detection models using deep learning only reached 60% accuracy in identifying sarcastic remarks. Humans can recognize sarcasm with as much as 90% accuracy due to their non-verbal cues, making this figure much lower. However, that said, AI is only getting better. E.g., OpenAI implemented the sarcastic feature in his GPT models based on hoard patterns of user conversations that he used, maybe not this purpose, this year (2023). They trained the system with millions of sarcastic statements from social media and news articles The model, they said, learned to recognize phrases that are common indicators of sarcasm.
Even with these improvements, AI still struggles with sarcasm. So if somebody said something sarcastic, a lot of times it'll take it literally as an actual statement, and you might get a response that isn't actually appropriate or right. The most public example of this happened in 2016 with Microsoft's ChatBot Tay, which almost immediately after its deployment began answering sarcastic comments with offensive or logorrheally artistic messages. The interaction is a reminder that AI still has not grasped all of the nuances of human emotion and particularly humor;
AI will enhance human productivity — but AI is still a tool (an assistant, not a replacement) as Andrew Ng, the AI developer and entrepreneur so succinctly put it. Most of the time, if you speak to ai it can help you within a little part — it can tell some solutions and provide some information but when it comes to sarcasm, ai is not there yet. While we can process facts and figures with unparalleled efficiency, AI again relies on models that are less than perfect in reaching the same precision of understanding the emotional undercurrents that drive human communication (for sarcasm delivery).