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- Genre: Doctoral Dissertation
- Genre: Masters Thesis
- Genre: Art--Technique.
- Genre: Fiction--Authorship.
- Creators: Arizona State University
Description
In today’s world, artificial intelligence (AI) is increasingly becoming a part of our daily lives. For this integration to be successful, it’s essential that AI systems can effectively interact with humans. This means making the AI system’s behavior more understandable to users and allowing users to customize the system’s behavior to match their preferences. However, there are significant challenges associated with achieving this goal. One major challenge is that modern AI systems, which have shown great success, often make decisions based on learned representations. These representations, often acquired through deep learning techniques, are typically inscrutable to the users inhibiting explainability and customizability of the system. Additionally, since each user may have unique preferences and expertise, the interaction process must be tailored to each individual. This thesis addresses these challenges that arise in human-AI interaction scenarios, especially in cases where the AI system is tasked with solving sequential decision-making problems. This is achieved by introducing a framework that uses a symbolic interface to facilitate communication between humans and AI agents. This shared vocabulary acts as a bridge, enabling the AI agent to provide explanations in terms that are easy for humans to understand and allowing users to express their preferences using this common language. To address the need for personalization, the framework provides mechanisms that allow users to expand this shared vocabulary, enabling them to express their unique preferences effectively. Moreover, the AI systems are designed to take into account the user’s background knowledge when generating explanations tailored to their specific needs.
ContributorsSoni, Utkarsh (Author) / Kambhampati, Subbarao (Thesis advisor) / Baral, Chitta (Committee member) / Bryan, Chris (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2024
Description
Frameworks of Many into the Creation of One [FMOC] is a choreographic work that delves into the concept of identity: Who am I? Who are you? Who are we? What is the narrative that binds us? This piece offers an exploration of our interactions with the world around us as we navigate the ongoing process of self-discovery. FMCO illuminates the intersectionality of the individual within a community, examining the diverse ways in which we express ourselves in relation to our environment. IDENTITY: Individual Differences Expressed and Negotiated through Environmental Information. The work delves into the idea that identity is shaped by the transfer of information within one's environment. Through the mediums of storytelling, dance, and multimedia, FMCO offers the audience an immersive experience of frameworks and concepts that influence both their own identities and the identity of Alecea Housworth. The piece invites viewers to contemplate the dynamic interplay between individualism and the influences of one's surroundings. This paper delves into the intricate interplay between individuality and community, shedding light on the complexity inherent in the human experience. Exploring the frameworks being race, gender, religion, and gender, which impact experiences that shape the development of one's sense of self. Through the lens of dance, this study examines how individuals construct and embody their identities, offering a nuanced understanding of self-conception through communal engagement.
ContributorsHousworth, Alecea Raquel (Author) / Kaplan, Robert (Thesis advisor) / Barnes, LaTasha (Thesis advisor) / Bernard, Daniel R (Committee member) / Arizona State University (Publisher)
Created2024