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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=Normal1 align=center style='text-align:center'><b><span style='line-height:115%;font-family:"Verdana",sans-serif'>Call for Papers<o:p></o:p></span></b></p><p class=Normal1 align=center style='text-align:center'><b><span style='line-height:115%;font-family:"Verdana",sans-serif'>HICSS-59 Minitrack – Human-AI Collaborations and Ethical Issues<o:p></o:p></span></b></p><p class=MsoNormal style='margin-bottom:8.0pt;background:white'><b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black'><o:p> </o:p></span></b></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><span style='font-family:"Times New Roman",serif'>This mini-track is organized to draw attention to a wide variety of ethical issues relevant to human-AI collaborations and to encourage more intensive research on this emergent topic. It welcomes theoretical, methodological, and empirical research addressing a variety of technical, social, and ethical issues relevant to complex and multifaceted challenges of AI systems in interaction with human stakeholders (e.g., users, developers, and competitors). The topics relevant to this minitrack include, but are not limited to:<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><b><u><span style='font-family:"Times New Roman",serif;color:#303133'>Human-AI Synergy in Online Platforms</span></u></b><span style='font-family:"Times New Roman",serif;color:#303133'>: While many online platforms are actively embracing AI (as discussed in Su et al., 2023) — particularly generative AI technologies — to enhance user experience, the human-AI synergy on these platforms requires careful examination. This synergy includes how platform users perceive AI as an alternative and how other stakeholders, such as existing service providers practicing on these platforms, react to this new entrant. In particular, the introduction of AI and its impact on platform sustainability should be discussed, as AI may pose a threat to existing business relationships. <o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><span style='font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><b><u><span style='font-family:"Times New Roman",serif;color:#303133'>Trust in AI Systems</span></u></b><span style='font-family:"Times New Roman",serif;color:#303133'>: As AI becomes increasingly capable of performing a wide range of tasks, both user engagement and perceived reliability of AI systems have seen significant growth, thereby amplifying their influence on human decisions and actions. However, given that AI optimization can progress rapidly and in unforeseen ways, ensuring that AI's objectives and behaviors are consistent with human values and goals poses a considerable challenge (Rezwana & Maher, 2022). Consequently, it is crucial to conduct thorough research to ascertain when, where, and to what extent human users should place their trust in AI systems and integrate their outputs into decision-making processes. <o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><span style='font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Multi-Agent Systems for Human-AI Collaboration</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#43404D'>: Multi-agent systems allow AI agents to coordinate with each other. This collaborative approach enables AI to collaborate with humans in more complex domains. As multi-agent systems play a critical role in advancing the effectiveness and efficiency of human-AI collaboration, we call for more attention to their design, impact, and implications.<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#43404D'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Transparency and Explainability</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: AI systems, which are commonly characterized as a "black box", can be difficult to understand or explain, making it harder to earn human users' trust. The opacity of AI systems has led to a growing need for research on methods to increase the transparency and explainability of AI systems (Samek et al., 2019)</span><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#43404D'>. Amidst the rise of generative AI, attention should also be directed to how this emerging technology can support transparency and interpretability with its remarkable capabilities for language understanding and generation (Schneider, 2024). <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#43404D'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Bias and Fairness</span></u></b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>:</span></u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'> AI systems can perpetuate and amplify biases present in the data and the computation architecture used to train them, which can lead to unfair and discriminatory outcomes. This has led to a growing need for research on methods to increase fairness and reduce bias in AI systems (Daugherty, et al., 2019). <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'> <o:p></o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Autonomy</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: As AI systems become more advanced, there are concerns about their potential to make decisions without human oversight or control. This has led to a growing need for research on methods to ensure the safety and accountability of autonomous AI systems (Baum, 2020). <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Privacy and Data Breaches</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: The use of AI can raise concerns about the collection, storage, and process of large amounts of personal sensitive data making them a target for data breaches and other forms of cybercrime (Osenl, et al., 2021). Methods and implications for protecting individuals' privacy and data breaches as a result of misuse of AI systems need to be studied. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Security and Vulnerabilities</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: AI systems can be vulnerable to adversarial attacks (e.g., hacking, malware, and other forms of cyber-attack), which can compromise their security and the security of the systems and networks they are connected to. Attackers also manipulate input data or use other techniques to trick the system into making incorrect decisions. This has led to a growing concern about the confidentiality and integrity of AI systems that directly interact with human users, which needs research on methods to increase the robustness and security of AI systems against adversarial attacks (Tariq, et al. 2020).</span><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#43404D'> <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Copyrights and Intellectual Property Rights</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: AI systems can be used to create and distribute unauthorized copies of copyrighted and trademarked material, making it difficult to enforce and protect such rights (Craig, 2022). In addition, the models of AI systems are trained on a large amount of data, which are valuable assets and can be stolen or replicated (Oliynyk, et al., 2022). Furthermore, in a co-creative system, the role of AI can be complex and substantial, making it difficult to answer "who owns the product in a human-AI co-creation?" (</span><span style='font-family:"Times New Roman",serif;color:#303133'>Rezwana & Maher, 2022</span><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>) These questions need to be investigated.<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Weaponization</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: AI systems are increasingly being used in autonomous weapon systems, which raises ethical questions about human-AI collaborations in warfare and the possibility of AI being used to create autonomous weapons (Duberry, 2022). <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Generative AI and Large Language Models</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black'>: The last few years have witnessed remarkable signs of progress in Generative AI (GAI) technologies, such as ChatGPT and Stable Diffusion. These advancements have tremendously enhanced AI systems and accelerated their adoption. Concurrently, the new technology integration calls for </span><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black;background:white'>more research to address its various issues, including design methodologies, development challenges, innovative applications, and ethical concerns.<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black;background:white'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Multimodal Human-AI Collaboration</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black;background:white'>: The rapid integration of large pre-trained foundation AI models has been equipped with multimodal input and output capabilities. These advancements unlock fresh user experiences and pave the way for more adaptive human-AI collaborations. However, the wide-ranging implications of multimodal applications, along with the potential for misuse – particularly through the generation of highly expressive and convincing multimodal content – highlight the urgent need for careful consideration of how multimodal AIs communicate with users.<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph;background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:black;background:white'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Natural Language Processing and Text Analytics</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: A wide variety of ML/DL methods, along with NLP, have been used to analyze voice and text in conversation. Nonetheless, existing approaches suffer from technical limitations, calling for more research to advance the state-of-the art in voice/text analytics.<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>Job Displacement</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: While AI creates new job opportunities in the IT sector, they have rendered some jobs obsolete, profoundly influencing the skills and competencies required for future employment. Does AI replace human laborers, potentially exacerbating economic inequality, or does it aid in preparing job candidates for more productive roles and thereby promoting occupational well-being? The potential impact of human-AI collaborations on human employment should be carefully examined. <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><b><u><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133;mso-fareast-language:JA'>AI for Vulnerable Population</span></u></b><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'>: (mental disorder sufferers, disabled, minor, etc.): While affording universal accessibility, AI's interaction with vulnerable groups, such as those suffering from mental disorders and disabilities, may raise concerns due to inadequate design or data contamination. Communication generated by AI for the general population may appear insensitive or inappropriate for these vulnerable groups. Therefore, it is essential to explore design principles for AI systems that specifically accommodate the needs of vulnerable populations.<o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:11.0pt;font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><b><u><span style='font-family:"Times New Roman",serif;color:#303133'>Unintended Consequences of Human-AI Collaborations</span></u></b><span style='font-family:"Times New Roman",serif;color:#303133'>: Unintended consequences can emerge from the complex interplay between human users and AI. Recognizing these unintended consequences is crucial in guiding the development of AI systems toward more equitable, responsible, and beneficial outcomes for society.<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph;line-height:normal'><span style='font-family:"Times New Roman",serif;color:#303133'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-family:"Times New Roman",serif'>Important dates (<a href="http://www.hicss.hawaii.edu/" target="_blank"><span style='color:#467886'>www.hicss.hawaii.edu</span></a>):</span></b><span style='font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal><b><span style='font-family:"Times New Roman",serif'> </span></b><span style='font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'>April 15: Paper submission commences<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'>June 15: Paper submission deadline<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'>August 17: Notification of Acceptance/Rejection<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'>September 22: Deadline for authors to submit final manuscript<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'>October 1: Deadline for at least one author to register for HICSS<br>January 6-9, 2026: HICSS Conference<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p style='margin:0in;vertical-align:baseline'><b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'>Conference Website:</span></b><span style='font-size:12.0pt;font-family:"Times New Roman",serif'> <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__hicss.hawaii.edu_&d=DwMFaQ&c=qgVugHHq3rzouXkEXdxBNQ&r=gRloTqYu41iyPBnFvSIsmmsPKOHv72ESW8DtO3XYTcc&m=4XiyqQFxEuYV_CNJ5KzOBVAT8nJ2elm32XdIHhguG3Q&s=2QBXzFGqmhSsv2IJK2OMVxYQFup4hQ7DyfSXi4ySbzY&e=" target="_blank"><span style='color:#1155CC'>http://hicss.hawaii.edu/</span></a><br><b>Author Guidelines:</b> <a href="https://urldefense.proofpoint.com/v2/url?u=http-3A__hicss.hawaii.edu_tracks-2Dand-2Dminitracks_authors_&d=DwMFaQ&c=qgVugHHq3rzouXkEXdxBNQ&r=gRloTqYu41iyPBnFvSIsmmsPKOHv72ESW8DtO3XYTcc&m=4XiyqQFxEuYV_CNJ5KzOBVAT8nJ2elm32XdIHhguG3Q&s=btsWYB4QhggVqei8tH_L3JdSHhaB45EQcIYDchm1SQo&e=" target="_blank"><span style='color:#1155CC'>http://hicss.hawaii.edu/tracks-and-minitracks/authors/</span></a><o:p></o:p></span></p><p style='margin:0in;vertical-align:baseline'><span style='font-size:12.0pt;font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><b><u><span style='line-height:115%;font-family:"Times New Roman",serif'>Minitrack Co-Chairs</span></u></b><b><span style='line-height:115%;font-family:"Times New Roman",serif'>:<o:p></o:p></span></b></p><p class=Normal1 style='margin-top:12.0pt;text-align:justify;text-justify:inter-ideograph'><b><span style='line-height:115%;font-family:"Times New Roman",serif'>Dr. Dan J. Kim (Primary)<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Times New Roman",serif'>Professor, Information Technology & Decision Sciences<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Times New Roman",serif'>G. Brint Ryan College of Business<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Times New Roman",serif'>University of North Texas<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span style='font-size:11.0pt;font-family:"Times New Roman",serif'>Email: dan.kim@unt.edu<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><b><span style='line-height:115%;font-family:"Times New Roman",serif'>Dr. Victoria Yoon<o:p></o:p></span></b></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Professor, Information Systems<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>School of Business<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Virginia Commonwealth University<o:p></o:p></span></p><p class=Normal1 style='margin-bottom:12.0pt;text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Email: </span><span style='font-family:"Times New Roman",serif'>vyyoon@vcu.edu</span><span style='line-height:115%;font-family:"Times New Roman",serif'> <o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><b><span style='line-height:115%;font-family:"Times New Roman",serif'>Dr. Xunyu Chen<o:p></o:p></span></b></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Assistant Professor, Information Systems<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>School of Business<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Virginia Commonwealth University<o:p></o:p></span></p><p class=Normal1 style='margin-bottom:12.0pt;text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Email: </span><span style='font-family:"Times New Roman",serif'>chenx@vcu.edu<o:p></o:p></span></p><p class=MsoNormal style='text-align:justify;text-justify:inter-ideograph'><b><span style='font-family:"Times New Roman",serif;color:black'>Babak Abedin <o:p></o:p></span></b></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Professor, Business Analytics and Information Systems<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Macquarie Business School<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Macquarie University<o:p></o:p></span></p><p class=Normal1 style='text-align:justify;text-justify:inter-ideograph'><span style='line-height:115%;font-family:"Times New Roman",serif'>Babak.Abedin@mq.edu.au<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p></div></body></html>