European Conference on Information Systems ECIS 2027

Anthropomorphic AI and human collaboration

Track 3

Track chairs

Ashish Kumar Jha
Trinity College Dublin

Rohit Nishant
Queen’s Business School, Belfast 

Jessica Braojos
University of Granada, Spain

Track description

Artificial intelligence (AI) is the defining technology of our times. It has already impacted the way we do daily chores, run our businesses, or design work (Seymour et al., 2024; Zhang et al., 2023). AI has become much more ubiquitous in our daily lives thanks to the emergence of generative AI tools (Alavi et al., 2024; Wang et al., 2025). Firms and researchers across the world are engaged in attempts to make AI tools more human-like to enable more engagement between humans and these AI tools (Seymour et al., 2024). AI technologies can be used in combination with human expertise to support organisational tasks and decision-making processes (Mikalef & Gupta, 2021. More specifically, this AI-human collaboration might be strengthened when using anthropomorphic AI tools. Anthropomorphism refers to the users’ (human) perception of the AI tools as human-like (Epley et al. 2007). Literature in Information Systems has analysed the role of anthropomorphism of technological elements like robots and its impact on users’ behavior (e.g., Li et al., 2021). The recent advances in AI technology have made the AI-enabled human augmentation possible and the distinction between AI and humans thin (Jain et al. 2021). This leads us to the questions about AI Anthropomorphism.

ECIS 2027 theme focuses on “Bridging Digital Borders”. Understanding AI’s anthropomorphism and the role such a human-like characterisation has on the way people perceive these pervasive technologies will be central in enabling the interconnected world where people from across the globe can connect with each other through the digital intermediaries. Creating Anthropomorphic AI tools has ethical implications as well when the ability of a user to distinguish between human and AI agents disappear. Also, the ability to generate compelling content could be exploited for malicious purposes, making it necessary to establish stricter security measures and regulations to prevent abuse. Those aspects need to be accounted for in any digital future perspective. An important aspect of AI tools’ Anthropomorphism is the cognitive and psychometric state of those tools. Pellert et al. (2023) have established that Gen AI tools can have unique psychological profiles. This provides the basis that mass personalisation of AI tools is possible where personality profiles of Anthropomorphic AI tools closely resemble users’ personality profiles for higher productivity and better augmentation. Such issues are central to Information Systems’ study of digital futures as our field can leverage interdisciplinary studies, theories, and study designs to analyze the various aspects of such Anthropomorphic AI.

Topics of interest

  • Relationship between human and AI 
  • Does AI have personality- AI personality profiles and its impact on AI-Human interaction? 
  • Impact of increasing Anthropomorphism of AI tools on human psychological space 
  • Interaction encounters between humans and AI 
  • Human cognitive abilities and AI cognitive abilities matching for better productivity in AI-Human collaboration 
  • Technologies and designs that enable better anthropomorphic design of AI tools 
  • AI Anthropomorphism and Pervasiveness- Are they linked? 
  • Changing nature of work, productivity and human behaviour in an AI-centric world 
  • Changing nature of marketing and customer care with blurring of boundaries between human and Anthropomorphic AI agents 
  • Business process redesign to accommodate higher human AI collaboration 
  • Making AI more accessible to marginalised communities by creating mass personalised Anthropomorphic AI tools 
  • Anthropomorphism of AI and societal care role evolution  
  • Management and regulation of Anthropomorphic AI tools 
  • Ethical implications of making AI Anthropomorphic 
  • Novel theoretical frameworks for studying and managing Anthropomorphism of AI technologies 
  • Human-AI collaboration in the workplace: Job performance and psychological mechanisms 
  • Human-AI collaboration and relational trust 
  • Humanised AI systems and employee well-being 
  • Anthropomorphic design cues and employee acceptance of AI 
  • AI anthropomorphism and human-AI 
  • The role of human-like AI in decision-making 

Associate editors

Aaron Cheng
London School of Economics and Political Science

Adrija Majumdar
Indian Institute of Management Ahmedabad

Arjun Kadian
Florida International University

Aseem Pahuja
University of Manchester

Assia Lasfer
Universite Laval

Baidyanath Biswas
Trinity College Dublin

Deepti Singh
California State University, Long Beach

Gunjan Tomer
Indian Institute of Management Nagpur

Khadija Ali Vakeel
DePaul University

Nicholas Danks
Trinity College Dublin

Pierangelo Rosati
Dublin City University

Saurav Chakraborty
University of Louisville

Shankhadeep Banerjee
Indian Institute of Management Bangalore

Soham Ghosh
Trinity College Dublin

Vimal Kumar M
Indian Institute of Management Calcutta