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The integration of Artificial Intelligence (AI) into digital platforms has enhanced user interaction, accessibility, and personalized recommendations. This paper explores the integration of an AI chatbot within the Gendered Innovation Living Labs (GILL) Hub, aimed at improving access to gender-related information. The chatbot adheres to key Trustworthy AI principles, ensuring transparency, fairness, and safety to foster user trust. By utilizing advanced language models and ethical guidelines, the chatbot effectively reduces gender biases and offers tailored, relevant recommendations. A case study on gender bias in entrepreneurship is presented, highlighting the chatbot’s role in enhancing decision-making and information access. Plans include improving the system’s interpretability, expanding content diversity, supporting multiple languages, and incorporating real-time feedback to maintain user responsiveness. The architecture leverages OpenAI language models, Pinecone vector database, and WordPress AI Power plugin to build a scalable, robust, and ethically aligned recommendation tool.

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Trustworthy AI-Based Conversational Recommender Agent: A Gender Innovation Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Carolina Villoria-Torres,
  • Enrique Mesonero-Ronco,
  • Roberto C. Vera,
  • Alberto Montero-Fernández,
  • Thide E. Llorente,
  • Javier Santos-Arranz,
  • Samuel Rey-López,
  • Rodrigo Álvarez-Martín,
  • Julián Pérez-Pascual,
  • Ana B. Gil-González,
  • Ana De Luis-Reboredo,
  • Marta Plaza-Hernández,
  • Javier Prieto-Tejedor

摘要

The integration of Artificial Intelligence (AI) into digital platforms has enhanced user interaction, accessibility, and personalized recommendations. This paper explores the integration of an AI chatbot within the Gendered Innovation Living Labs (GILL) Hub, aimed at improving access to gender-related information. The chatbot adheres to key Trustworthy AI principles, ensuring transparency, fairness, and safety to foster user trust. By utilizing advanced language models and ethical guidelines, the chatbot effectively reduces gender biases and offers tailored, relevant recommendations. A case study on gender bias in entrepreneurship is presented, highlighting the chatbot’s role in enhancing decision-making and information access. Plans include improving the system’s interpretability, expanding content diversity, supporting multiple languages, and incorporating real-time feedback to maintain user responsiveness. The architecture leverages OpenAI language models, Pinecone vector database, and WordPress AI Power plugin to build a scalable, robust, and ethically aligned recommendation tool.