The next Interdisciplinary Ethics Tech Competition will be held on Saturday, Feb. 1, 2025. If you would like to stay informed about the competition, and you will receive additional details as they become available!
An information session about the 2025 competition will be held on Tuesday, Nov. 19, 2024 in Wolf Law Room 204 from 12 pm until 12:40 pm. Pizza will be served. Come and learn details about the competition and hear from past participants!
Event Summary
Held annually, the听Interdisciplinary Ethics Tech Competition gives students a chance to wrestle听with a real-world ethics听problem听in collaboration with a diverse team of students studying听law, business, communication, journalism, engineering, ITP, information science, or听computer science.听 Past case problems have featured听a tech company grappling with ethical obligations related to its facial expression recognition product, and an online platform's efforts to address the challenges presented by "fake news."
The competition provides students with the unique opportunity to work as part of an interdisciplinary team on a problem involving ethical, legal, business, technology, and privacy issues similar to what they are likely to encounter after graduation. This hands-on听learning experience prepares students to collaborate听effectively across disciplines in their careers, and positions students听to be ethical members of business management teams.
Who May听Participate
The competition is open to graduate students at the 麻豆免费版下载 studying any relevant discipline,听including law, business, communication, journalism, engineering, philosophy, ITP, information science, or听computer science.听
Event Format
Participants are assigned to a team comprised of 3-5听students representing different areas of study to maximize the breadth听of each team's knowledge and expertise.
Teams are听given the case problem approximately two weeks before the competition date.听 听In the process of researching the problem听and preparing听a response, team members may meet as many times as they choose and may consult with outside professionals. Students prepare both a live presentation and听a short, written executive summary of their recommendations.
On the day of the competition, each team presents its听recommendations to panels of judges who are selected for their expertise in the relevant听fields.
The five top-scoring teams from the initial rounds advance to听the Finals Round, where the finalists give their presentations to a panel of judges, community members, and students in Wittemyer Courtroom. After the final听presentations, a networking and awards luncheon is听held for competition participants, where the winning teams are听announced. Monetary prizes are awarded to the top three highest-scoring teams.
Please click听here听for a news article that provides a more detail description of the competition.听
Highlights from the 2024听Competition
The eighth annual听Interdisciplinary Ethics Tech Competition was held at Colorado Law on February 3, 2024. Nine teams comprised of students from a range of academic disciplines competed as hypothetical colleagues tasked with advising their company's executive management on how the company should implement artificial intelligence for performance management among the company's U.S. employees. Students identified key issues and risks - ethical, practical, legal, and business-related - associated with using breakthrough AI technology for HR purposes.听听
The three highest-scoring teams were as follows:
- 1st听Place Team:听Emilee Calvin (Law); Catie听Pursifull (Law);听Sabrina Schatz (MENV); Sydney Zirbel (Business)
- 2nd Place Team: Sanam听Analouei (Law); Seth Guldin (Business); Emmeline Nettles (International Affairs); Isaac Ogundare (Law); Macarena Villagomez-Tapia (Law)听
- 3rd Place Team: Matthew Alexander (Law); Steve Herlihy (Law); Victor Laudano (Law); Jacob听Woodford (Law); Alden Zeff (Business)
Highlights from the 2023 Competition
In the 2023 competition, students collaborated to form a hypothetical task force testifying before a Congressional Committee to provide recommendations on how - if at all - the U.S. government should regulate deep fakes. They sought to answer the question: As viewers can no longer tell the difference between real and faked content, how do we draw the line to harness the beneficial aspects of this technology while protecting against harm?听
The three highest-scoring teams were as follows:
- 1st Place: Shayan Abtahi (Law), Lucia Jayne (Computer Science), Yamineesh Kanaparthy (Business Analytics) and Sarah Sorenson (Law)
- 2nd Place: Mariah Bowman (Law), Sean Harms (Law), Conor Rowan (Aerospace Engineering)听and Britt Wirth (Law)听听
- 3rd Place: Xelef Botan (Law), Kailey Lauter (Law), Kylie Hunter (Engineering/Technology Cybersecurity and Policy)听and Colton Marschik (Business)听 听 听
Highlights from the 2022 Competition
In the 2022 competition, nine teams of students submitted video presentations detailing their proposals for a technologically sound contact-tracing program that could be used in the next public health crisis to safeguard public health while respecting individual privacy and balancing business, ethical and legal interests. 听
The three highest-scoring teams were as follows:
- 1st Place: Landon Glover (Law), Austin Hayes (Engineering), Garrett Janney (Law) and听Zac Salinger (Business)
- 2nd Place:听Megan Bryan (Law), Isabelle Dean (Law), Austin McCleery (Law) and Grace Wilson (Engineering and听Creative Technology & Design) 听
- 3rd Place:听听Neill Shikada (Creative Technology & Design), Paul Stevenson (Law) and Diego Villareal (Law)听听听 听
Thank you to all of our participants and volunteer judges!
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The Interdisciplinary Ethics Tech Competition is co-hosted by the Daniels Fund Ethics Initiative Collegiate Program at Colorado Law, the Collegiate Program at the Leeds School of Business, and the Silicon Flatirons Center for Law, Technology, and Entrepreneurship, in partnership with:
- Department of Computer Science
- Technology, Cybersecurity and Policy (TCP) Program
- College of Engineering and Applied Science
- Department of Information Science
2023 Winning Teams
2020 Winning Teams
