詳細書目資料

22
0
0
0

Conversational artificial intelligence / edited by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Piyush Vyas, Mary Sowjanya Alamanda, Kotagiri Srividya and Krishnan Sakthidasan Sankaran.

館藏資訊

本館視聽資料與可外借圖書提供預約服務,每張借閱證總共可預約10冊(件)。
密集書庫中不可外借圖書提供調閱服務,每張借閱證總共可調閱10冊(件)。
如預約/調閱圖書或視聽資料因破損、遺失等因素無法借閱時,本館將以電子郵件或電話簡訊通知讀者取消該筆預約/調閱申請。

摘要註

Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.

延伸查詢 Google Books Amazon
回到最上