From bard to Gemini: An investigative exploration journey through Google’s evolution in conversational AI and generative AI
Open accessAbstract
The advent of artificial intelligence (AI) has significantly transformed various aspects of human life, particularly in information retrieval and assistance. This research presents a comprehensive evaluation of Gemini, previously known as Google Bard, a state-of-the-art AI chatbot developed by Google. Through a meticulous methodology encompassing both qualitative and quantitative approaches, this research aims to assess Gemini’s performance, usability, integration capabilities, ethical implications. Primary data collection methods, including user surveys and interviews, were utilized to gather towards the qualitative feedback on user experiences with Gemini, supplemented by secondary data analysis using tools such as Google Analytics to capture quantitative metrics. Performance evaluation involved benchmarking against other AI chatbots and technical analysis of Gemini’s architecture and training methods. User experience testing examined usability, engagement, and integration with Google Workspace and third-party services. Ethical considerations regarding data privacy, security, and biases in AI-generated content were also addressed, ensuring compliance with major regulations and promoting ethical AI practices. Acknowledging limitations and challenges inherent in the investigative exploration, data analysis was conducted using thematic and statistical methods to derive insights. The results and findings of this research offer valuable insights into the capabilities and limitations of Gemini, providing implications for future AI development, user interaction design, and ethical AI governance. By contributing to the ongoing discourse on AI advancements and their societal impact, this exploration facilitates informed decision-making and lays the groundwork for future research endeavors in the field of AI-driven conversational agents.
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Multimodal AI can propagate and amplify biases and stereotypes across different modalities, and if unchecked, this can perpetuate discrimination and social inequities.
“Moreover, multimodal AI can propagate and amplify biases and stereotypes across different modalities, and if unchecked, this can perpetuate discrimination and social inequities”
From From Google Gemini to OpenAI Q* (Q-Star): A Survey on Reshaping the Generative Artificial Intelligence (AI) Research Landscape (2025) · cites this paper as [133]
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- Authors
- Bin Akhtar, Z.
- Venue
- Computing and artificial intelligence.
- Publisher
- Academic Publishing Pte. Ltd.
- Published
- 2024-06-27
- Volume
- 2
- Issue
- 1
- Pages
- 1378
- ISSN
- 3029-2786 (ISSN-L)
- OpenAlex
- W4400101309
- Cited by
- 21
- References
- 11
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 2
- FWCI
- 3.11
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Computing and artificial intelligence. (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Keywords
- Google Gemini, Google Bard, conversational AI, generative AI, AI chatbots, usability, user experience, third-party service integration, AI ethics, data privacy, AI governance, AI compliance
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