As artificial intelligence (AI) continues to advance, conversational AI systems like Chat GPT have emerged as powerful tools for natural language processing and human-computer interactions. My research aims to provide a thorough examination of the strengths and weaknesses of Chat GPT, while also delving into the pervasive issue of biases inherent in various AI models.
The strengths of Chat GPT lie in its ability to generate coherent and contextually relevant responses, making it a valuable resource in customer service, virtual assistants, and language translation applications. It showcases remarkable proficiency in understanding context, maintaining engaging conversations, and adapting to user preferences. There is vast potential for Chat GPT in enhancing user experiences and streamlining human-computer interactions.
On the other hand, this research also addresses the weaknesses of Chat GPT that impede its performance. The model often exhibits sensitivity to input phrasing, leading to inconsistent or inaccurate responses. Additionally, Chat GPT's reliance on training data can lead to output that aligns with biased human perspectives, perpetuating stereotypes and prejudices. Addressing these limitations is crucial to ensure ethical and unbiased AI applications. The presence of bias can result in discriminatory or harmful outputs, affecting vulnerable communities and reinforcing social inequalities.
My research focuses on two questions: (1) What kinds of bias can be found in Chat GPT and related platforms, and what are the possible ramifications of such bias? (2) What is Chat GPT’s programming abilities, and what are the implications of such abilities on novice programmers?