Powered by Data - July 17, 2023

Data Points

Last Week in Conversational AI

• According to recent reports, Google has reportedly abandoned its plans for an AI-powered chatbot app targeting Generation Z. The project, codenamed "ChatGenny," aimed to create an AI chatbot that could engage with young users in a conversational and personalized manner. However, concerns over data privacy, safety, and potential ethical issues related to interacting with underage users have led Google to halt the app's development. This decision reflects Google's commitment to responsible AI development and underscores the importance of addressing potential risks associated with AI applications for younger demographics.
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• Anthropic, an AI research lab founded by ex-OpenAI execs, has unveiled Claude 2, the second iteration of its AI chatbot. With enhanced capabilities, Claude 2 aims to bridge the gap between human-like conversation and machine intelligence. It utilizes a novel neural architecture that combines the strengths of transformers and symbolic systems, enabling it to understand context, generate coherent responses, and even reason about ambiguous queries. Anthropic envisions Claude 2 as a versatile tool for various applications, such as customer support, language learning, and knowledge discovery, heralding a new era of more advanced and human-like AI chatbots.
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• Google has partnered with the Mayo Clinic to test its medical AI chatbot in real-world clinical settings. The Med-PaLM 2, chatbot developed by Google's research arm, uses natural language processing and machine learning algorithms to provide personalized responses to patients' health-related queries. The pilot program aims to evaluate the chatbot's effectiveness in assisting healthcare providers with patient care by offering reliable information, triaging symptoms, and suggesting appropriate treatment options. This collaboration highlights the potential of AI technology in enhancing healthcare delivery, streamlining patient-provider communication, and improving access to reliable medical information.
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