2021
DOI: 10.48550/arxiv.2104.00358
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

Abstract: This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In particular, we collected a set of nine potential pitfalls, based on the literature and our own experiences as researchers working at the intersection of HCI and AI. We illustrate each pitfall with examples and suggest ideas for addressing it. Reflecting on all pitfalls, we discuss and conclude with implications for future research direc… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 8 publications
(5 citation statements)
references
References 22 publications
0
5
0
Order By: Relevance
“…However, while AI holds significant promise for enhancing a user's creative abilities by managing certain aspects of the creative workflow, it also brings forward challenges and concerns such as user agency and trusts [30], the authenticity of the creation [50], potential creative biases [46,49], and ownership and credit attribution [10,21]. Our work builds upon existing literature in human-AI co-creation [8,14,21,24,30,32,40,55,57,73] and further contributes by developing a new AI system for video editing and studying its impact. Through the lens of LAVE, we examined the dynamics of user interactions with an LLM-based agent and explored the opportunities and challenges inherent in the proposed editing paradigm.…”
Section: Human-ai Co-creationmentioning
confidence: 93%
“…However, while AI holds significant promise for enhancing a user's creative abilities by managing certain aspects of the creative workflow, it also brings forward challenges and concerns such as user agency and trusts [30], the authenticity of the creation [50], potential creative biases [46,49], and ownership and credit attribution [10,21]. Our work builds upon existing literature in human-AI co-creation [8,14,21,24,30,32,40,55,57,73] and further contributes by developing a new AI system for video editing and studying its impact. Through the lens of LAVE, we examined the dynamics of user interactions with an LLM-based agent and explored the opportunities and challenges inherent in the proposed editing paradigm.…”
Section: Human-ai Co-creationmentioning
confidence: 93%
“…In a personalized context, Buschek et al [8] examined the potential pitfalls for achieving user interests in the co-creation context. The limitations on the machine side, identified as lack of machine creativity [41], and usability [37], and thus, highlight a biased AI with trained system bias but lacks discussions on the source of bias and the mismatch between individual expectations and system abilities.…”
Section: Human-in-the-loop Systemsmentioning
confidence: 99%
“…Human-AI interaction has been explored in domains such as drawing [27,56], translation [31], creative writing [25,30], and design ideation [39]. Prior work has noted core challenges of the interaction, such as a lack of transparency, controllability, and user agency [6,14,34]. Through Chaining, we aim to address these user-centered concerns.…”
Section: Human-ai Collaborationmentioning
confidence: 99%