Encouraging Employee Adoption of Generative AI

Transcript

1. Encouraging Employee Adoption of Generative AI By Gwen-Zoe Yang Summer 2024 UROP
2. Gwen-Zoe Yang, co ‘27 Computer Science and Mathematics @Wellesley Today (August 14): Encouraging Employee Adoption of Generative AI Next Thursday (August 22): Evaluating No-Code Platforms for Generative AI About Me
3. Context 02 04 01 Research Question Existing Research 03 Methodology Findings + Implications 05 Conclusion 06 Table of contents
4. Context Advent of generative AI 1960s 2022 ChatGPT is released
5. Context Advent of generative AI 1960s 2022 ChatGPT is released Since then…
6. Context Advent of generative AI 1960s 2022 ChatGPT is released Since then… - ↑↑company incorporation of generative AI - ↑↑adaptation - ↑↑competition - ↓↓job market
7. Research Question What should companies start, stop, and keep doing to encourage employee adoption of generative AI?
8. Existing Research
9. Ensure Job Security Existing Research
10. Ensure Job Security Existing Research 60% of white collared believe GenAI will make their jobs redundant
11. Overcome Cultural Norms Ensure Job Security Existing Research 60% of white collared believe GenAI will make their jobs redundant
12. Overcome Cultural Norms Ensure Job Security Existing Research 60% of white collared believe GenAI will make their jobs redundant Promote constant innovation and adaptability
13. Overcome Cultural Norms Ensure Job Security Upskilling and Reskilling Existing Research 60% of white collared believe GenAI will make their jobs redundant Promote constant innovation and adaptability
14. Overcome Cultural Norms Ensure Job Security Upskilling and Reskilling Existing Research 60% of white collared believe GenAI will make their jobs redundant Most employees want upskilling directly from their employers Promote constant innovation and adaptability
15. Overcome Cultural Norms Ensure Job Security Establish Clear Limits Upskilling and Reskilling Existing Research 60% of white collared believe GenAI will make their jobs redundant Most employees want upskilling directly from their employers Promote constant innovation and adaptability
16. Overcome Cultural Norms Ensure Job Security Establish Clear Limits Upskilling and Reskilling Existing Research 60% of white collared believe GenAI will make their jobs redundant Most employees want upskilling directly from their employers Promote constant innovation and adaptability Nestle custom GPT, NesGPT, to prevent Shadow AI
17. Literature “3 Ways Companies Can Mitigate the Risk of AI in the Workplace.” World Economic Forum, 16 Jan. 2024, www.weforum.org/agenda/2024/01/how-companies-can-mitigate-the-risk-of-ai-in-the-workplace/#:~:text=Business%20leaders%20a nd%20employees%20are,more%20productivity%20and%20less%20harm. Callahan, Cloey. “A Year in: Nestlé Employees Save 45 Minutes per Week Using Internal Generative AI.” WorkLife, 22 July 2024, www.worklife.news/technology/nesgpt-nestle-genai/. Chiancone, Chris. “Why to Train Your Employees Now in Generative AI.” LinkedIn, 3 June 2024, www.linkedin.com/pulse/why-train-your-employees-now-generative-ai-chris-chiancone-83rsc/. Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023. Leonardi, Paul. “Helping Employees Succeed with Generative AI.” Harvard Business Review, 16 Oct. 2023, hbr.org/2023/11/helping-employees-succeed-with-generative-ai#:~:text=Create%20conditions%20for%20learning%20and%20incen tivize%20helping.&text=Employees%20must%20learn%20and%20relearn,add%20value%20to%20the%20organization. Subirats, Marina Albacar. “7 Ways to Engage Your Employees in Using Generative AI.” Itequia, 26 June 2024, itequia.com/en/7-ways-to-engage-your-employees-in-using-generative-ai/.
18. Methodology 4 interviews - 2 in healthcare, 2 in corporate Identifying common themes across similar interviews
19. Personas Realistic Healthcare (R. Healthcare) Skeptical Healthcare (S. Healthcare) Skeptical Corporate (S. Corporate) Enthusiastic Corporate (E. Corporate)
20. Findings Keep Establish Clear Limits Stop Start Ensure Job Security
21. Stop Nothing Much!
22. Keep Establish Clear Limits - S. Corporate - Ensure employees are careful with company data - “It could be just a policy saying that you cannot enter any company proprietary data into ChatGPT query” (S. Corporate) - Often, they will take an LLM and further refine it with company data Upskilling and Reskilling - Companies have an active hand in shaping employee knowledge
23. Start Ensure Job Security - R. and S. Healthcare - Generative AI won’t replace doctors - “A lot of researchers think of these as assistive technologies rather than things that will replace human interactions” (R. Healthcare) - E. Corporate and S. Corporate - Adapt or die - “10% never got on board… and eventually, they left on their own or were laid off” (E. Corporate)
24. Implications Job Security ⇒ more senior computer scientists in the future ⇒ more innovation (E. Corporate) Policy needs to come before further innovation, ie. step by step integration Companies should be proactive, not reactive
25. Work being done to improve privacy with generative AI How is it keeping up with actual innovation? Attitudes towards job security across various industries Further Research
26. Overcome Cultural Norms Ensure Job Security Establish Clear Limits Upskilling and Reskilling In conclusion…
27. Generative AI is still very new Companies should focus on small, edible steps Researchers should look to applicability of theories across all industries Conclusion
28. Thank you!
29. Works Cited + Resources “3 Ways Companies Can Mitigate the Risk of AI in the Workplace.” World Economic Forum, 16 Jan. 2024, www.weforum.org/agenda/2024/01/how-companies-can-mitigate-the-risk-of-ai-in-the-workplace/#:~:text=Business%20leaders%20and%20employ ees%20are,more%20productivity%20and%20less%20harm. Callahan, Cloey. “A Year in: Nestlé Employees Save 45 Minutes per Week Using Internal Generative AI.” WorkLife, 22 July 2024, www.worklife.news/technology/nesgpt-nestle-genai/. Chiancone, Chris. “Why to Train Your Employees Now in Generative AI.” LinkedIn, 3 June 2024, www.linkedin.com/pulse/why-train-your-employees-now-generative-ai-chris-chiancone-83rsc/. Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023. Leonardi, Paul. “Helping Employees Succeed with Generative AI.” Harvard Business Review, 16 Oct. 2023, hbr.org/2023/11/helping-employees-succeed-with-generative-ai#:~:text=Create%20conditions%20for%20learning%20and%20incentivize%20helpi ng.&text=Employees%20must%20learn%20and%20relearn,add%20value%20to%20the%20organization. Subirats, Marina Albacar. “7 Ways to Engage Your Employees in Using Generative AI.” Itequia, 26 June 2024, itequia.com/en/7-ways-to-engage-your-employees-in-using-generative-ai/. AI Resources: Krisp AI Notetaker, Adobe Acrobat Premiere Pro, ChatGPT-4o
32. Stop Overcome Cultural Norms - S. Corporate - Ex. Ferrari implements an AI customer service chatbot
33. Findings (Healthcare) Employees: Doctors Companies: Providers Key Takeaways: Disagreement on the Jagged Frontier Study Agreement on the Cyborg Model and Overreliance Privacy = speaks to the novelty of GenAI
34. Employees: Staff Companies: Corporations Key Takeaways: Echoes the privacy sentiment, even more extreme Echoes the novelty of GenAI Implementing strict rules and holding employees to it Findings (Corporate)
35. Existing Research
36. Existing Research Jagged Frontier Study
37. Existing Research Employee Ability Utility of ChatGPT Jagged Frontier Study
38. Existing Research Employee Ability Utility of ChatGPT Jagged Frontier Study
39. Existing Research Employee Ability Utility of ChatGPT Jagged Frontier Study Centaur vs Cyborg
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64. 795,321 Big numbers catch your audience’s attention
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69. This is a graph It’s a gas giant and the biggest planet Jupiter Mars Mars is a cold place, not hot 1,254 8,554 Venus has a beautiful name Venus 4,215 Follow the link in the graph to modify its data and then paste the new one here. For more info, click here Jupiter Venus Mars
70. More graphs Jupiter is the biggest planet 35% Jupiter Venus has a beautiful name 10% Venus Mars is a cold place, not hot 20% Mars Mercury is the smallest planet 35% Mercury
71. Target 50% 30% 20% 18 - 25 26 - 35 +36 30% 70% Age Gender
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77. This is a timeline Mars is a cold place, not hot Jupiter is the biggest planet Neptune Neptune is far away from Earth Mercury Mercury is the smallest planet 01 02 03 04 Jupiter Mars
78. How the company generates income Mars Mars is actually very cold Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with rings Mercury Mercury is a small planet
79. This is a table Mars Venus Jupiter Task 1 Task 2 Task 3 Task 4
80. This is a table Task 1 Task 2 Task 3 Task 4 Description Jupiter is the biggest planet Mercury a small planet Saturn has several rings Neptune is far away from us Year 2019 2020 2021 2022 Duration Three months Two weeks Six months Four months
81. Percentages Venus Venus has a beautiful name Mars Mars is actually a cold place Mercury Mercury is the smallest planet 20% 40% 60%
82. Percentages Mars Mars is actually a very cold place 60% Mercury Mercury is the smallest planet 40%
83. Venus Venus has a beautiful name Mars Mars is actually a cold place Mercury Mercury is the smallest planet Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with several rings You can use six columns
84. Mercury Mercury is the smallest planet Mars Despite being red, Mars is cold Jupiter Jupiter is the biggest planet Neptune Neptune is far away from Earth Saturn Saturn is a gas giant with rings Competitors
85. Awesome words
86. Awesome words
87. This is a map It’s a gas giant and the biggest planet Jupiter Mars Mars is a cold place, not hot Venus has a beautiful name Venus Mercury Mercury is the smallest planet
88. This is a map Jupiter is the biggest planet Jupiter Venus has a beautiful name Venus Mars is a cold place, not hot Mars Mercury is the smallest planet Mercury
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91. This is an infographic Jupiter Jupiter is the biggest planet Mars Mars is a cold place, not hot Saturn Saturn is a gas giant with rings Venus Venus has a beautiful name 01 02 03 04
92. This is an infographic Mercury Mercury is the closest planet to the Sun Mars Despite being red, Mars is actually a cold place Venus Venus is the second planet from the Sun Idea Product
93. June Venus has a beautiful name January Mars is actually a cold place November Mercury is the smallest planet 125K 250K 540K Monthly data
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95. Our goals Venus Venus has a beautiful name Mars Mars is actually a cold place Jupiter Jupiter is the biggest planet Neptune It’s the farthest planet from the Sun
96. Jupiter Jupiter is the biggest planet Neptune It’s the farthest planet from the Sun Venus Venus has a beautiful name Our goals
97. Statistics Phase 1 Phase 2 Phase 3 Mercury 1,254 9,145 8,145 Mars 5,214 6,541 3,214 Saturn 3,418 3,214 5,415
98. Statistics 2019 2020 2021 2022 Avg. spen $15,225 $40,000 $45,000 $65,000 Description Mercury is very small Venus has a nice name Jupiter is the biggest planet Mars is a cold place, not hot Customers 12,000 20,000 19,000 40,000
99. Jupiter’s rotation period The Sun’s mass compared to Earth’s Distance between Earth and the Moon 9h 55m 23s 333,000 386,000 km
100. 354 Mars 789 Despite being red, Mars is actually a cold place Mercury Mercury is the smallest planet of them all Neptune Neptune is the farthest planet from the Sun 912
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