CITI Program, Webinar – 26.5.2020
A webinar on May 26, 2020, addressed the growing complexities of protecting human subjects in artificial intelligence (AI) research. It explored current protections, regulatory elements, and ethical tools relevant to this field. The discussion also highlighted existing limitations in safeguarding human subjects amidst advancing AI technologies.
.
Webinar: AI & Human Subject Protections
“The increasing interest in research involving artificial intelligence (AI) adds a new dimension to individuals who work with human subjects and those responsible for human subject protections.
This webinar explores the current protections, regulatory elements and ethics tools associated with protecting human subjects in light of AI research, including a discussion of their current limitations. The webinar concludes with some suggestions regarding shaping policy of and providing education on AI research with human subjects.
Learning Objectives
-
Review the current regulatory framework for human subject protections and its applicability to research involving AI.
-
Identify existing protections, ethics tools, and their limitations for human subjects in AI research.
-
Describe approaches to shape policy and provide training on AI research that involves human subjects.
Presented by
Cansu Canca, Ph.D – AI Ethics Lab
Tamiko Eto, MS, CIP – Stanford Research Institute (SRI) International, Office of Research Integrity”
For more information and to watch the webinar, please click here and go to CITI Program website.
.
Sign in to highlight and annotate this article

Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Chinese chipmakers now control 41 percent of China s AI accelerator market
Chinese chipmakers captured nearly 41 percent of China's AI accelerator server market in 2025, according to an IDC report seen by Reuters. The article Chinese chipmakers now control 41 percent of China s AI accelerator market appeared first on The Decoder .
Transcript for Jensen Huang: NVIDIA The $4 Trillion Company the AI Revolution Lex Fridman Podcast #494
This is a transcript of Lex Fridman Podcast #494 with Jensen Huang. The timestamps in the transcript are clickable links that take you directly to that point in the main video. Please note that the transcript is human generated, and may have errors. Here are some useful links: Go back to this episode s main page Watch the full YouTube version of the podcast Table of Contents Here are the loose chapters in the conversation. Click link to jump approximately to that part in the transcript: 0:00 Introduction 0:33 Extreme co-design and rack-scale engineering 3:18 How Jensen runs
I Built a Local-First AI Knowledge Base for Developers — Here's What Makes It Different
Stop losing context between projects. NoteCore is your second brain, built for devs. Every developer I know has the same problem. You finish a project. Six months later you're starting something similar and you know you've solved this exact auth problem before. You know you wrote down why you chose CQRS over a simple service layer in that one architecture doc. You know there was a snippet somewhere that handled exactly this edge case. But you can't find it. It's buried in Notion, or Obsidian, or a random .md file in a repo you barely remember the name of. So you solve it again from scratch. You spend two hours re-deriving something you already figured out. That's the problem NoteCore exists to solve. What is NoteCore? NoteCore is a local-first AI knowledge base built specifically for devel


Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!