OMIS3710 Group Written Assignment Project PDF

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Final group project for the course...

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Group Project: Business Decision Analysis for Human Resource Algorithms Ushnish Sengupta, Faculty Schulich School of Business, York University Toronto, Ontario Canada [email protected]

Assignment Details Groups of 5-7 students Due December 20th, 11:30 pm

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The group’s representative shall submit the assignment on Canvas. Any questions about the assignment will be taken up in class 3 onwards. No late assignments will be accepted.

As Business graduates you will be playing a major role in technology related decisions for the organization you are working for. This assignment will help you understand both financial and non-financial management factors that are part of technology purchase and implementation decisions. This assignment will help you develop the following skills: 1. Analyze technology related news articles for issues related to an industry and an organization. 2. Understand the costs and benefits of addressing industry related technology issues. 3. Develop strategic thinking skills in technology option analysis and decision making. 4. Use writing skills to argue your viewpoint and make a business case. 5. Understand the perspectives of multiple stakeholders, technology service provider and seller, technology purchaser and technology end user

The organization we will be focusing on is Jobster.io Jobster.io is a service that matches job seekers with employers. The organization offers free services for post-secondary students, and additionally premium services that includes a six month job guarantee. The organization works through 120 on demand career consultants, and a small permanent staff. Jobter.io has been in business for three years and has been been applying AI enabled solutions since 2019. Most potential customers have asked Jobster.io about their AI enabled services and how potential issues of AI bias, transparency and ethics are addressed. Jobster.io is expanding into the post-secondary student job market with the main customers being College and University institutions, and is looking for advice on different options. In addition to Jobster.io’s website, you are required to read the materials provided on Canvas, and the article links provided in this document that describes how Human Resources software products are being implemented, and how a number of algorithmic bias issues have been detected after implementation. Most of the issues could have been preventively addressed with the right management and business decisions early in the process. Some of the readings describe the issues, while others point to possible solutions. You do not have to be a Technology or Human Resources expert to understand the issues or solutions, but you do need to be able to recognize similar issues, and the financial implications of potential solutions when you will come across them in your work.

AI Bias Background Information Articles: 1. Daly, C. (2019). AI Bias Isn't A Data Issue - It's A Diversity Issue. AI Business. Retrieved from: https://aibusiness.com/document.asp?doc_id=760915 2. Dastin, J. (2018). Amazon scraps secret AI recruiting tool that showed bias against women. Reuters. Retrieved from: https://www.reuters.com/article/us-amazon-comjobs-automation-insight/amazonscraps-secret-ai-recruiting-tool-that-showed-biasagainst-women-idUSKCN1MK08G 3. Duhaney, D. (2020) Diversity Alone Will Not Be The Solution To Bias In AI. POCIT People of Color In Tech. Retrieved from: https://peopleofcolorintech.com/articles/diversityalone-will-not-be-the-solution-to-bias-in-ai/ 4. Engler, A. (2021, March 12). Auditing employment algorithms for discrimination. Brookings. https://www.brookings.edu/research/auditing-employment-algorithms-fordiscrimination/ 5. EPIC (2021) In re HireVue. Electronic Privacy Information Centre (EPIC). Retrieved from: https://epic.org/privacy/ftc/hirevue/ 6. Knight, W. (2021). Job Screening Service Halts Facial Analysis of Applicants. But it’s still using intonation and behavior to assist with hiring decisions. Retrieved from: https://www.wired.com/story/job-screening-service-halts-facial-analysisapplicants/

7. Page, S. (2018). How Diversity Powers Team Performance (Interview). Knowledge@Wharton. Retrieved from: https://knowledge.wharton.upenn.edu/article/great-teams-diversity/ 8. Page, S. (2020). Just having people who look different isn't enough to create a diverse team. LinkedIn. Retrieved from: https://www.linkedin.com/pulse/just-havingpeople-who-look-different-isnt-enough-create-scott-page/?published=t 9. Richter, F. (2021). Women's Representation in Big Tech. Statista. Retrieved from: https://www.statista.com/chart/4467/female-employees-at-tech-companies/ 10. Sloane, M., Moss, E., & Chowdhury, R. (2021). A Silicon Valley Love Triangle: Hiring Algorithms, Pseudo-Science, and the Quest for Auditability. ArXiv:2106.12403 [Cs]. Retrieved from: http://arxiv.org/abs/2106.12403 11. Vu, V. Lamb, C. & Zafar, A. (2019) Who Are Canada’s Tech Workers? Brookfield Institute for Innovation + Entrepreneurship. Retrieved from: https://brookfieldinstitute.ca/report/who-are-canadas-tech-workers 12. World Economic Forum (2018). The Global Gender Gap Report 2018 https://www.weforum.org/reports/the-global-gender-gap-report-2018

Section and Mark Breakdown (35% total) Each question below should be answered within approximately 100 words. Construct full sentences and structured paragraphs for each answer. Accurately number the answers to the questions, and ensure you answer ALL the questions so you don’t miss any marks. • Document in MS Word or equivalent • Document length between 4000 and 6000 words • Groups of 5 students: minimum 4000 words including references and appendices • Groups of 7 students: minimum 5000 words including references and appendices • Maximum word count for all groups: 6000 words including references and appendices • Use the APA style guide for references • You are allowed to use diagrams, tables etc. to enhance your analysis since the primary answers are limited to 100 words. Use appendices for these additional materials. • The bulk of the document will be text, in essay or White Paper format • Feel free to use any additional secondary resources you find useful Important Note: In return for allowing students to analyze the company, Jobster.io has requested that any content provided for the assignment can be used by Jobster.io for any purpose. By providing answers for the assignment, they will be made available to Jobster.io and used by Jobster.io for any purpose. In other words, if you don’t want to share something publicly, don’t put it in the assignment. Also, if there is any potential Conflict of Interest, i.e. you work full-time or part-time or as a volunteer for Schulich or York University or any other organization in a Human Resource (HR) or related capacity, simply declare it in a statement at the beginning of the document. e.g. Conflict of Interest Statement: I, Ushnish Sengupta, am employed by the Schulich School of Business at York University as an instructor for Information Systems courses and I do not have any conflicts of interest in working on an AI based HR class assignment for Jobster.io. 1. (1 Mark) Executive Summary 2. (1 Mark) Short Introduction 3. (1 Mark) What is the overall strategy for Jobster.io, the organization selling AI based HR services? 4. (1 Mark) Who are the competitors for Jobster.io in the post-secondary education space? List three competitors and explain why they are the competitors of greatest concern for Jobster.io. 5. (1 Mark) For Jobster.io, how does the College and University AI based HR sales substrategy support the overall business strategy? 6. (1 Mark) The basic service for Jobster.io is free for current students. Describe a premium service pricing strategy for Jobster.io. What premium and subscription services would current College and University students pay for and how much? 7. (1 Mark) How does Jobster.io, the organization selling the AI based HR services, determine the Business Requirements for the service?

8. (1 Mark) How does the College and University institution i.e. the organization buying the AI based HR service, determine the Business Requirements for the service? 9. (1 Mark) How does Jobster.io, the organization selling the AI based HR services, determine the Technical Requirements for the service? 10. (1 Mark) How does the College and University institution i.e. the organization buying the AI based HR service, determine the Technical Requirements for the service? 11. (1 Mark) For Jobster.io, what would be the some of the measurable financial and nonfinancial outcomes for selling AI based HR services to College and University institutions? 12. (1 Mark) For University and College Institutions, what would be the some of the measurable financial and non-financial outcomes for purchasing AI based HR services? 13. (1 Mark) For Jobster.io, what would be some of the sources of data for AI based HR services? 14. (1 Mark) For Jobster.io, what would be the recommended Social Media channels for advertising AI based HR services to University and College students? Briefly justify your choices. 15. (1 Mark) For Jobster.io, what would be the annual costs of the recommended Social Media channels for advertising AI based HR services to University and College students? Briefly justify your costs. 16. From Jobster.io, what are the key metrics that can be provided on AI based HR services that are valuable for University and College institutions? Briefly justify your choices. 17. From Jobster.io, what are the key metrics for AI based HR services that are valuable for University and College students? Briefly justify your choices. 18. From Jobster.io, what are five marketing messages that would encourage University and College students to sign up for Jobster.io services (max 20 words each)? 19. (1 Mark) For Jobster.io, what are the advantages and disadvantages of Private Internal Fairness/Bias Audits (not financial audit) for AI based services provided? 20. (1 Mark) For Jobster.io, what are the advantages and disadvantages of Independent External Fairness/Bias Audits (not financial audit) for AI based HR services provided? 21. (1 Mark) For Universities and Colleges, what are the advantages and disadvantages of Independent External Fairness/Bias Audits (not financial audit) for AI based HR services provided? 22. (1 Mark) For Jobster.io, what are the risks with biases in the data or AI based service? 23. (1 Mark) Write a 100 word job description for someone who would be able to determine issues with bias in the data or AI based HR services for Jobster.io? 24. (1 Mark) For Universities and Colleges, what are the risks with bias in the data or AI based HR services? 25. (1 Mark) How would Jobster.io ensure the right people are on their team to mitigate potential bias in AI based HR services? 26. (1 Mark) For Jobster.io, what are the financial implications of hiring the required team to mitigate bias in AI based HR services? 27. (1 Mark) How would Universities and Colleges institutions ensure the right people are on their team to mitigate potential bias in AI based HR services? 28. (1 Mark) For University and College institutions, what are the financial implications of hiring the required team to mitigate bias in AI based HR services?

29. (1 Mark) At Jobster.io, what changes are required in financial incentives for decisions to mitigate bias in AI based HR services? 30. (1 Mark) At University and College institutions, what changes are required in financial incentives for decisions to mitigate bias in AI based HR services? 31. (1 Mark) For Jobster.io, what are some of the costs for implementing solutions to the issues identified in AI based HR services? 32. (1 Mark) For University and College institutions, what are some of the costs for implementing solutions to the issues identified in AI based HR services? 33. (1 Mark) As a strategy consultant at Jobster.io, what would be some additional advice on making additional decisions in AI based HR services? 34. (1 Mark) As a strategy consultant for University and College institutions, what would be your advice on making additional decisions in AI based HR services? 35. (1 Mark) Conclusion...