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Trust and ethical considerations in a multi-modal, explainable AI-driven chatbot tutoring system: The case of collaboratively solving Rubik's Cube
Artificial intelligence (AI) has the potential to transform education with its power of uncovering insights from massive data about student learning patterns.
Evaluating Chatbots to Promote Users' Trust -- Practices and Open Problems
Chatbots, the common moniker for collaborative assistants, are Artificial Intelligence (AI) software that enables people to naturally interact with them to get tasks done.
Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes
Increasingly powerful Large Language Model (LLM) based chatbots, like ChatGPT and Bard, are becoming available to users that have the potential to revolutionize the quality of decision-making achieved by the public.
Advances in Automatically Rating the Trustworthiness of Text Processing Services
Then, we will outline challenges and vision for a principled, multi-modal, causality-based rating methodologies and its implication for decision-support in real-world scenarios like health and food recommendation.
Rating Sentiment Analysis Systems for Bias through a Causal Lens
Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that, given a piece of text, assign one or more numbers conveying the polarity and emotional intensity expressed in the input.
On Safe and Usable Chatbots for Promoting Voter Participation
Chatbots, or bots for short, are multi-modal collaborative assistants that can help people complete useful tasks.
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process
This demands a need for better representation of the recipes, overcoming the ambiguity and sparseness that exists in the current textual documents.
