Papers
Topics
Authors
Recent
2000 character limit reached

Deconstructing the Veneer of Simplicity: Co-Designing Introductory Generative AI Workshops with Local Entrepreneurs (2402.17082v1)

Published 26 Feb 2024 in cs.HC and cs.AI

Abstract: Generative AI platforms and features are permeating many aspects of work. Entrepreneurs from lean economies in particular are well positioned to outsource tasks to generative AI given limited resources. In this paper, we work to address a growing disparity in use of these technologies by building on a four-year partnership with a local entrepreneurial hub dedicated to equity in tech and entrepreneurship. Together, we co-designed an interactive workshops series aimed to onboard local entrepreneurs to generative AI platforms. Alongside four community-driven and iterative workshops with entrepreneurs across five months, we conducted interviews with 15 local entrepreneurs and community providers. We detail the importance of communal and supportive exposure to generative AI tools for local entrepreneurs, scaffolding actionable use (and supporting non-use), demystifying generative AI technologies by emphasizing entrepreneurial power, while simultaneously deconstructing the veneer of simplicity to address the many operational skills needed for successful application.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (100)
  1. Artificial intelligence: the ambiguous labor market impact of automating prediction. Journal of Economic Perspectives 33, 2 (2019), 31–50.
  2. Digitization and the contract labor market: A research agenda. Technical Report. National Bureau of Economic Research.
  3. Kirsti Ala-Mutka. 2011. Mapping digital competence: Towards a conceptual understanding. (2011).
  4. Ask me anything: A simple strategy for prompting language models. arXiv preprint arXiv:2210.02441 (2022).
  5. Additional labors of the entrepreneurial self. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–24.
  6. Promptsource: An integrated development environment and repository for natural language prompts. arXiv preprint arXiv:2202.01279 (2022).
  7. Tony Bailetti. 2012. Technology entrepreneurship: overview, definition, and distinctive aspects. Technology innovation management review 2, 2 (2012).
  8. A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity. arXiv preprint arXiv:2302.04023 (2023).
  9. Refusing, limiting, departing: why we should study technology non-use. In CHI’14 Extended Abstracts on Human Factors in Computing Systems. 65–68.
  10. BBC. 2023. Why ‘digital literacy’ is now a workplace non-negotiable. https://www.bbc.com/worklife/article/20220923-why-digital-literacy-is-now-a-workplace-non-negotiable. Accessed: 2023-09-01.
  11. Robin Bell and Heather Bell. 2023. Entrepreneurship education in the era of generative artificial intelligence. Entrepreneurship Education (2023), 1–16.
  12. On the dangers of stochastic parrots: Can language models be too big?. In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency. 610–623.
  13. Ruha Benjamin. 2023. Race after technology. In Social Theory Re-Wired. Routledge, 405–415.
  14. On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258 (2021).
  15. Susan Boser. 2006. Ethics and power in community-campus partnerships for research. Action Research 4, 1 (2006), 9–21.
  16. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877–1901.
  17. U.S. Census. 2020. Wilkinsburg, P.A., Demographics, 2020 Census. https://www.census.gov/quickfacts/fact/table/wilkinsburgboroughpennsylvania/PST045222. Accessed: 2024-02-22.
  18. Pew Research Center. 2023. Most Americans haven’t used ChatGPT; few think it will have a major impact on their job. https://www.pewresearch.org/short-reads/2023/08/28/most-americans-havent-used-chatgpt-few-think-it-will-have-a-major-impact-on-their-job/. Accessed: 2023-09-01.
  19. Kathy Charmaz and Linda Liska Belgrave. 2007. Grounded theory. The Blackwell encyclopedia of sociology (2007).
  20. A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research. In CHI Conference on Human Factors in Computing Systems. 1–18.
  21. Anne Corden and Roy Sainsbury. 2006. Using verbatim quotations in reporting qualitative social research: researchers’ views. University of York York.
  22. Allegheny County. 2023. Allegheny County, Equity and Inclusion. https://www.alleghenycounty.us/equity-inclusion/index.aspx. Accessed: 2023-09-01.
  23. Reflections on design methods for underserved communities. In Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing. 409–413.
  24. Entrepreneurship and the socio-technical chasm in a lean economy. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–14.
  25. The Village: Infrastructuring Community-based Mentoring to Support Adults Experiencing Poverty. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–17.
  26. Gpts are gpts: An early look at the labor market impact potential of large language models. arXiv preprint arXiv:2303.10130 (2023).
  27. A method to the madness: Applying an intersectional analysis of structural oppression and power in HCI and design. ACM Transactions on Computer-Human Interaction 30, 2 (2023), 1–45.
  28. Sheena L Erete. 2014. Community, group and individual: A framework for designing community technologies. The Journal of Community Informatics 10, 1 (2014).
  29. Crafting, communality, and computing: Building on existing strengths to support a vulnerable population. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–14.
  30. Realtoxicityprompts: Evaluating neural toxic degeneration in language models. arXiv preprint arXiv:2009.11462 (2020).
  31. Sparks: Inspiration for science writing using language models. In Designing interactive systems conference. 1002–1019.
  32. Jennifer Haase and Paul HP Hanel. 2023. Artificial muses: Generative artificial intelligence chatbots have risen to human-level creativity. arXiv preprint arXiv:2303.12003 (2023).
  33. Probing a Community-Based Conversational Storytelling Agent to Document Digital Stories of Housing Insecurity. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–18.
  34. Deconstructing community-based collaborative design: Towards more equitable participatory design engagements. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–25.
  35. Community collectives: Low-tech social support for digitally-engaged entrepreneurship. In Proceedings of the 2020 CHI conference on human factors in computing systems. 1–15.
  36. Making a living my way: Necessity-driven entrepreneurship in resource-constrained communities. Proceedings of the ACM on Human-Computer Interaction 2, CSCW (2018), 1–24.
  37. Distributed apprenticeship in online communities. Human–Computer Interaction 34, 4 (2019), 328–378.
  38. Lilly Irani. 2019. Chasing innovation: Making entrepreneurial citizens in modern India. Princeton University Press.
  39. Review of community-based research: assessing partnership approaches to improve public health. Annual review of public health 19, 1 (1998), 173–202.
  40. Genline and genform: Two tools for interacting with generative language models in a code editor. In Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology. 145–147.
  41. AI Art and its Impact on Artists. In Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. 363–374.
  42. How can we know what language models know? Transactions of the Association for Computational Linguistics 8 (2020), 423–438.
  43. Federal Court Rules Work Generated by Artificial Intelligence Alone Is Not Eligible for Copyright Protection. https://www.klgates.com/Federal-Court-Rules-Work-Generated-by-Artificial-Intelligence-Alone-Is-Not-Eligible-for-Copyright-Protection-8-30-2023. Accessed: 2023-09-01.
  44. Tech Help Desk: Support for Local Entrepreneurs Addressing the Long Tail of Computing Challenges. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 1–15.
  45. Jean Lave and Etienne Wenger. 1991. Situated learning: Legitimate peripheral participation. Cambridge university press.
  46. Christopher A Le Dantec and Sarah Fox. 2015. Strangers at the gate: Gaining access, building rapport, and co-constructing community-based research. In Proceedings of the 18th ACM conference on computer supported cooperative work & social computing. 1348–1358.
  47. Human-centered approaches to fair and responsible AI. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1–8.
  48. Fei-Fei Li. 2018. How to Make A.I. That’s Good for People. https://www.nytimes.com/2018/03/07/opinion/artificial-intelligence-human.html. Accessed: 2023-09-13.
  49. Embracing Four Tensions in Human-Computer Interaction Research with Marginalized People. ACM Transactions on Computer-Human Interaction (TOCHI) 28, 2 (2021), 1–47.
  50. Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. Comput. Surveys 55, 9 (2023), 1–35.
  51. Organizing Community-based Events in Participatory Action Research: Lessons Learned from a Photovoice Exhibition. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. 1–8.
  52. Participatory Noticing through Photovoice: Engaging Arts-and Community-Based Approaches in Design Research. In Proceedings of the 2023 ACM Designing Interactive Systems Conference. 2489–2508.
  53. Shifting from Surveillance-as-Safety to Safety-through-Noticing: A Photovoice Study with Eastside Detroit Residents. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
  54. George A Marcoulides. 1989. Measuring computer anxiety: The computer anxiety scale. Educational and Psychological Measurement 49, 3 (1989), 733–739.
  55. Douglas Massey and Nancy A Denton. 1993. American apartheid: Segregation and the making of the underclass. Harvard university press.
  56. Rethinking search: making domain experts out of dilettantes. In Acm sigir forum, Vol. 55. ACM New York, NY, USA, 1–27.
  57. Midjourney. 2023. Midjourney. https://www.midjourney.com/home/. Accessed: 2023-08-31.
  58. Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–34.
  59. Ethan Mollick and Jim Euchner. 2023. The Transformative Potential of Generative AI: A Conversation with Ethan Mollick Jim Euchner talks with Ethan Mollick about generative AI: its potential to transform work and what organizations—and individuals—ought to do… now! Research-Technology Management 66, 4 (2023), 11–16.
  60. The design space of generative models. arXiv preprint arXiv:2304.10547 (2023).
  61. Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence 2 (2021), 100041.
  62. Shakked Noy and Whitney Zhang. 2023. Experimental evidence on the productivity effects of generative artificial intelligence. Available at SSRN 4375283 (2023).
  63. City of Pittsburgh. [n. d.]. Pittsburgh, P.A., Report of Inequality Across Gender and Race. https://apps.pittsburghpa.gov/redtail/images/7109_Pittsburgh’s_Inequality_Across_Gender_and_Race_09_18_19.pdf. Accessed: 2023-09-01.
  64. Towards an effective digital literacy intervention to assist returning citizens with job search. In Proceedings of the 2019 CHI conference on Human factors in computing systems. 1–12.
  65. OpenAI. 2023a. Can I sell images I create with DALL-E? https://help.openai.com/en/articles/6425277-can-i-sell-images-i-create-with-dall-e. Accessed: 2023-08-10.
  66. OpenAI. 2023b. OpenAI. https://openai.com/. Accessed: 2023-08-31.
  67. OpenAI. 2023c. OpenAI Playground. https://platform.openai.com/playground. Accessed: 2023-08-31.
  68. OpenAI. 2023d. OpenAI Prompt Examples. https://platform.openai.com/examples. Accessed: 2023-08-31.
  69. Generative agents: Interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442 (2023).
  70. Social simulacra: Creating populated prototypes for social computing systems. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology. 1–18.
  71. Lucy Pei and Roderic Crooks. 2020. Attenuated access: Accounting for startup, maintenance, and affective costs in resource-constrained communities. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–15.
  72. Pew Research. 2019. Demographics of Mobile Device Ownership and Adoption in the United States. https://www.pewresearch.org/internet/fact-sheet/mobile/ Library Catalog: www.pewresearch.org Section: Fact Sheets.
  73. Peter Pirolli and Stuart Card. 1999. Information foraging. Psychological review 106, 4 (1999), 643.
  74. Allied Media Project. 2023. Consentful Tech Project. https://alliedmedia.org/projects/consentful-tech-project. Accessed: 2023-09-13.
  75. Hierarchical text-conditional image generation with clip latents. arXiv preprint arXiv:2204.06125 1, 2 (2022), 3.
  76. Zero-shot text-to-image generation. In International Conference on Machine Learning. PMLR, 8821–8831.
  77. Noopur Raval and Joyojeet Pal. 2019. Making a” Pro”:’professionalism’after platforms in beauty-work. Proceedings of the ACM on Human-Computer Interaction 3, CSCW (2019), 1–17.
  78. Laria Reynolds and Kyle McDonell. 2021. Prompt programming for large language models: Beyond the few-shot paradigm. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 1–7.
  79. Emerging spaces in community-based participatory design: reflections from two case studies. In Proceedings of the 13th Participatory Design Conference: Research Papers-Volume 1. 1–10.
  80. Intersectional HCI: Engaging identity through gender, race, and class. In Proceedings of the 2017 CHI conference on human factors in computing systems. 5412–5427.
  81. Chirag Shah and Emily M Bender. 2022. Situating search. In Proceedings of the 2022 Conference on Human Information Interaction and Retrieval. 221–232.
  82. Learn With Shopify. 2023. 7 Different Ways To Use ChatGPT For Your Business. https://www.youtube.com/watch?v=uVSMwL5HWIY&ab_channel=LearnWithShopify. Accessed: 2023-09-05.
  83. Cole E Short and Jeremy C Short. 2023. The artificially intelligent entrepreneur: ChatGPT, prompt engineering, and entrepreneurial rhetoric creation. Journal of Business Venturing Insights 19 (2023), e00388.
  84. What can HCI learn from sexual consent? A feminist process of embodied consent for interactions with emerging technologies. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–13.
  85. Story centaur: Large language model few shot learning as a creative writing tool. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations. 244–256.
  86. Hostile Ecologies: Navigating the Barriers to Community-Led Innovation. Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022), 1–26.
  87. Who gets to future? Race, representation, and design methods in Africatown. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems.
  88. Alexander Van Deursen and Jan Van Dijk. 2011. Internet skills and the digital divide. New media & society 13, 6 (2011), 893–911.
  89. Vidyoai. 2023. How to use vidyo.ai? https://www.youtube.com/watch?v=_GTFnVsGfIc&ab_channel=vidyoai. Accessed: 2023-09-05.
  90. Eric Von Hippel. 2006. Democratizing innovation. the MIT Press.
  91. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. arXiv preprint arXiv:2306.11698 (2023).
  92. PopBlends: Strategies for conceptual blending with large language models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–19.
  93. A prompt pattern catalog to enhance prompt engineering with chatgpt. arXiv preprint arXiv:2302.11382 (2023).
  94. Lauren Williams. 2019. The co-constitutive nature of neoliberalism, design, and racism. Design and Culture 11, 3 (2019), 301–321.
  95. Heike Winschiers-Theophilus and Nicola J Bidwell. 2013. Toward an Afro-Centric indigenous HCI paradigm. International Journal of Human-Computer Interaction 29, 4 (2013), 243–255.
  96. Design with Canva. 2023a. Bulk Create Content with ChatGPT and Canva. https://www.youtube.com/watch?v=RY9O_kvU-JY&ab_channel=DesignwithCanva. Accessed: 2023-09-05.
  97. Design with Canva. 2023b. How to use DALL-E in 10 minutes. https://www.youtube.com/watch?v=eipIjwaNHow&ab_channel=DesignwithCanva. Accessed: 2023-09-05.
  98. Elevating strengths and capacities: the different shades of assets-based design in HCI. Interactions 29, 5 (2022), 28–33.
  99. Ai chains: Transparent and controllable human-ai interaction by chaining large language model prompts. In Proceedings of the 2022 CHI conference on human factors in computing systems. 1–22.
  100. Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–21.
Citations (1)
View on Semantic Scholar

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now

Whiteboard

Paper to Video (Beta)

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Generate Now

Continue Learning

We haven't generated follow-up questions for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Generate Now

Collections

Sign up for free to add this paper to one or more collections.

User Circle Single Streamline Icon: https://streamlinehq.com Sign Up

Tweets

Sign up for free to view the 1 tweet with 1 like about this paper.

User Circle Single Streamline Icon: https://streamlinehq.com Sign Up for Free