"Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866917322405445632 |
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| author | Hwang, Angel Hsing-Chi Wong, Senya Chen, Baixiao He, Jessica Do, Hyo Jin |
| author_facet | Hwang, Angel Hsing-Chi Wong, Senya Chen, Baixiao He, Jessica Do, Hyo Jin |
| contents | The growing use of AI applications among freelance workers is reshaping trust and relationships with clients. This paper investigates how both workers and clients perceive AI use and disclosure in the freelance economy through a three-stage study: interviews with workers and two survey studies with workers and clients. Findings first reveal a key expectation gap around disclosure: Workers often adopt passive disclosure practices, revealing AI use only when asked, as they assume clients can already detect it. Clients, however, are far less confident in recognizing AI-assisted work and prefer proactive disclosure. A second finding highlights the role of unclear or absent client AI policies, which leave workers consistently misinterpreting clients' expectations for AI use and disclosure. Together, these gaps point to the need for clearer guidelines and practices for AI disclosure. Insights extend beyond freelancing, offering implications for trust, accountability, and policy design in other AI-mediated work domains. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2603_07459 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | "Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work Hwang, Angel Hsing-Chi Wong, Senya Chen, Baixiao He, Jessica Do, Hyo Jin Human-Computer Interaction Artificial Intelligence The growing use of AI applications among freelance workers is reshaping trust and relationships with clients. This paper investigates how both workers and clients perceive AI use and disclosure in the freelance economy through a three-stage study: interviews with workers and two survey studies with workers and clients. Findings first reveal a key expectation gap around disclosure: Workers often adopt passive disclosure practices, revealing AI use only when asked, as they assume clients can already detect it. Clients, however, are far less confident in recognizing AI-assisted work and prefer proactive disclosure. A second finding highlights the role of unclear or absent client AI policies, which leave workers consistently misinterpreting clients' expectations for AI use and disclosure. Together, these gaps point to the need for clearer guidelines and practices for AI disclosure. Insights extend beyond freelancing, offering implications for trust, accountability, and policy design in other AI-mediated work domains. |
| title | "Better Ask for Forgiveness than Permission": Practices and Policies of AI Disclosure in Freelance Work |
| topic | Human-Computer Interaction Artificial Intelligence |
| url | https://arxiv.org/abs/2603.07459 |