You can talk to AI like a human, yes, but the experience is still being honed. AI systems, particularly those that rely on natural language processing (NLP), have come a long way in their abilities to comprehend and react to human speech. Recent studies have shown that even the best current AI models, including GPT-4 from OpenAI, are around 85 percent accurate in their understanding of nuanced language such as idioms and complex sentence structures. But for all the thousands and millions of data points that the AI can sift through to produce a response, it still cannot replicate a truly human conversation in other ways.
AI, for example, has difficulty understanding context beyond things that happened just before. Humans have an ascribed ability to hold meaningful context over long conversations, where AI systems can struggle after only a few interactions and respond immediately with something unrelated or irrelevant. Indeed, the Association for Computational Linguistics has reported that AI models frequently require explicit context resets or restatements of conversation topics to remain on track when engaged in a technical or extremely detail-oriented dialogue.
With every evolution of technology, Ai are learning to respond more like us using our tone, our emotion and even wit. For this reason, in 2022, the Stanford researchers founded a study that demonstrated how AI could mimic speech subtleties, including sarcasm with up to 70% accuracy. This stands to improve user engagement, so it seems like a conversation with a human instead of with a machine. But AI does not understand emotions like humans do — not completely, at least. Even though it will further evolve in this regard, the skill to understand and respond without emotional undertones from mere text is imperfect and AI-generated responses may, at times, sound devoid of empathy or emotion — something you would typically get from a human conversational partner.
Likewise, the ability for AI to act human is relative to the particular platform in question. Sure, casual conversations after decades of improvement, e.g. technology assistance systems assistant like Apple's Siri or Amazon's Alexa know how to engage in small talk but still are reasonably restrained to commands and responses('PARSED-NLP') These more advanced platforms like talk to ai, on the other hand, have higher level capability of conversation through which talks can seem a lot realistic level of understanding is being simulated.
Another critical area of concern is the ability of AI to converse with humans, it also raises privacy and data security issues. Because AI bots rapidly improves their responses based on the data they amass, growing worries intertwine with how this information is stored and used. To alleviate such worries, the EU GDPR regulations lay down rules for how we should use data to train our artificial intelligences. This is in line with regulations that require users know what data is being collected on them, and allow specified controls over that data.
To wrap up, although the AI can simulate a conversation with humans quite closely eventually, it still cannot understand complex contexts and emotional nuances. And the tech will keep getting better, and as it does the exchanges will become ever more familiar. But, having a conversation with AI still requires some knowledge of its limitations and potential.