Co-sponsored by the College of Engineering and Enable Tech student group


Thank you to our industry partners


Details & registration
Free lunches for attendees
Prizes for winners of poster contest
Prizes for breakout session winners
Its-Its Ice cream sandwiches for all participants
Date: April 16, 2026
Time: 10:00 – 3:00
Location: Grimes Engineering Center
Open to: All Faculty, Undergraduate Students, Alumni interested in discussing Engineering Ethics & Social Responsibility across UCB
Deadline to register for the workshop: April 9, 2026
Poster contest
Present a poster about how your student organization engages with engineering ethics, or choose one of the provided poster prompts.
Register to submit a poster by: April 2, 2026
Posters must be submitted by: April 13, 2026
Breakout sessions with industry partners
Work in groups of 5-6 students and design solutions to case studies provided by our industry panelists.
Prizes to be given to groups with the most compelling ideas/solutions.
Students, please come with resume ready to share electronically with industry partners who are interested in connecting regarding jobs and internships.
Agenda
Time: 9:15 – 10:00
Location: Raw Thrills Lounge
Event: Check in, Pastries, Coffee
Time: 10:00 – 10:45
Location: Jarvis Auditorium
Event: Industry Panel with Nvidia & Lam Research
Short presentations by representatives.
How do we enable rapid innovation while thinking about impact to society? (which could include sustainability, confidentiality, individual protections). Possible questions:
How are potential societal impacts identified and communicated within the company, and within the industry?
Are there examples from your field of differing global norms, and does the company take initiatives to seek global uniformity, or does the variability create unique opportunities?
What are the roles of regulations? What do you wish the roles of relations were? Which are the regulatory agencies of relevance to your industry, and how do you envision the regulatory space changing? In your field, does regulation help, or hinder?
What engineering ethics and social responsibility training does your company provide, or expect of engineers to have before they are hired?
Q&A with Students
Time: 11:00- 12:30
Location: Brayton, Greene & Rosenblum
Event: Students break into teams (5-6 students) and create a solution to the Case Study.
Nvidia Case Study
Communicating AI Risks: From Identification to Employee Action
AI systems have the potential to impact millions of people, often in ways that aren’t immediately apparent during development. Unlike traditional software that follows explicit rules, AI systems learn patterns from data and make decisions that can be difficult to predict or explain. This creates unique responsibilities for organizations deploying these technologies. Risk assessments are essential because they protect people from harm, and enable responsible innovation with clear boundaries and safeguards.
The Challenge: Effectively communicating risks to 100’s employees across engineering, product, and customer service teams can be very challenging. Teams have varying technical expertise and limited time for training.
Your Task: Design a technical solution that automatically explains what the risks are, how they’re prioritized, what mitigation is in place, and what each employee’s role is in managing them.
LAM Case Study
Designing for Performance, Profit, and Planet
You are early-career engineers at Lam Research, a global leader in plasma etch, deposition, and clean equipment used by TSMC, Samsung, Intel, and other leading fabs. Advanced semiconductor fabrication is extraordinarily resource-intensive: a single fab consumes as much electricity as a small city, uses millions of gallons of ultrapure water daily, and relies on fluorinated gases (CF₄, SF₆, NF₃) with global warming potentials 10,000–25,000× that of CO₂.
Historically, customers bought equipment based on safety/compliance, on-wafer performance (etch rate, uniformity, selectivity, defectivity), and cost of ownership—CoO (throughput, uptime, consumables). Sustainability was not a purchase factor.
That is changing. Customers have made net-zero pledges (2030–2050). Regulations in the EU, Korea, and Taiwan are tightening. Downstream brands demand Scope 3 transparency. Customers now ask suppliers for per-wafer energy reductions, lower gas usage, reduced water/chemical consumption, and lifecycle carbon data. Sustainability is becoming a selection criterion.
Case study full details linked here
Case study supplementals linked here
Time: 12:30 – 1:30
Location: Raw Thrills & Giancarlo Gallery
Event: Lunch & Poster Sessions
Time: 1:30 – 2:00
Location: Jarvis Auditorium
Event: Presentation of winners in breakout room Sessions
Poster Session Winners
Time: 2:00 – 3:00
Location: Greene & Rosenblum, Brayton
Event: Industry Engagement
Meet with companies to learn about opportunities & employment with Nvidia and Lam Research
Time
Location
Event
9:15 – 10:00
Raw Thrills Lounge
Check in, Pastries, Coffee
10:00 – 10:45
Jarvis Auditorium
Industry Panel with Nvidia and Lam Research
Short presentations by representatives.
How do we enable rapid innovation while thinking about impact to society? (which could include sustainability, confidentiality, individual protections). Possible questions:
How are potential societal impacts identified and communicated within the company, and within the industry?
Are there examples from your field of differing global norms, and does the company take initiatives to seek global uniformity, or does the variability create unique opportunities?
What are the roles of regulations? What do you wish the roles of relations were? Which are the regulatory agencies of relevance to your industry, and how do you envision the regulatory space changing? In your field, does regulation help, or hinder?
What engineering ethics and social responsibility training does your company provide, or expect of engineers to have before they are hired?
Q&A with Students
11:00- 12:30
Brayton
Greene & Rosenblum
Students break into teams (5-6 students) and create a solution to the Case Study. Breakout Sessions:
Nvidia Case Study
Communicating AI Risks: From Identification to Employee Action
AI systems have the potential to impact millions of people, often in ways that aren’t immediately apparent during development. Unlike traditional software that follows explicit rules, AI systems learn patterns from data and make decisions that can be difficult to predict or explain. This creates unique responsibilities for organizations deploying these technologies. Risk assessments are essential because they protect people from harm, and enable responsible innovation with clear boundaries and safeguards.
The Challenge: Effectively communicating risks to 100’s employees across engineering, product, and customer service teams can be very challenging. Teams have varying technical expertise and limited time for training.
Your Task: Design a technical solution that automatically explains what the risks are, how they’re prioritized, what mitigation is in place, and what each employee’s role is in managing them.
LAM Case Study
Designing for Performance, Profit, and Planet
You are early-career engineers at Lam Research, a global leader in plasma etch, deposition, and clean equipment used by TSMC, Samsung, Intel, and other leading fabs. Advanced semiconductor fabrication is extraordinarily resource-intensive: a single fab consumes as much electricity as a small city, uses millions of gallons of ultrapure water daily, and relies on fluorinated gases (CF₄, SF₆, NF₃) with global warming potentials 10,000–25,000× that of CO₂.
Historically, customers bought equipment based on safety/compliance, on-wafer performance (etch rate, uniformity, selectivity, defectivity), and cost of ownership—CoO (throughput, uptime, consumables). Sustainability was not a purchase factor.
That is changing. Customers have made net-zero pledges (2030–2050). Regulations in the EU, Korea, and Taiwan are tightening. Downstream brands demand Scope 3 transparency. Customers now ask suppliers for per-wafer energy reductions, lower gas usage, reduced water/chemical consumption, and lifecycle carbon data. Sustainability is becoming a selection criterion.
Case study full details linked here
Case study supplementals linked here
12:30 – 1:30
Raw Thrills & Giancarlo Gallery
Lunch & Poster Sessions
1:30 – 2:00
Jarvis Auditorium
Presentation of winners in breakout room sessions
Poster Session Winners
2:00 – 3:00
Jarvis Auditorium
Brayton
Greene & Rosenblum
Industry Engagement: Meet with companies to learn about opportunities & employment
Nvidia
Lam Research
Speakers

Dr. Wojciech Osowiecki
Dr. Wojciech (“Wojtek” – pronounced “Voytek”) Osowiecki is a Product Marketing Engineer in the Global Product Group at Lam Research. He is responsible for the environmental sustainability roadmaps of all etch, deposition, and clean products, and the Equipment Intelligence® feature of etch tools. Wojtek founded the Lam Employee Sustainability Community (LESC), an employee resource group focused on environmental sustainability with over 1,100 members, and co-chairs SEMI’s Climate Equity and Social Impact (CESI) working group. A Siebel Scholar and winner of UC Berkeley’s Cleantech to Market program, Wojtek holds a Ph.D. in physical chemistry from UC Berkeley and a joint B.S./M.S. degree in chemistry from Yale.

Barnaby Simkin
Barnaby is Director of Trustworthy AI at NVIDIA. He designs the internal governance structures that guide responsible AI development and deployment. He leads a team that creates processes and evaluation tools to quantify and mitigate risk across models, datasets, and complex integrated systems such as autonomous vehicles and humanoid robots. His work ensures AI is not only technically capable, but safe, compliant, and aligned with legal and ethical expectations.