Leilani H. Gilpin

Example Page 1

Sun, 05 May 2019 00:00:00 +0100

In this tutorial, I’ll share my top 10 tips for getting started with Academic:

Tip 1

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Tip 2

Example Page 2

Sun, 05 May 2019 00:00:00 +0100

Here are some more tips for getting started with Academic:

Tip 3

Tip 4

Knowledge-based commonsense reasoning and explainability

Fri, 30 Sep 2022 10:30:00 +0000

Accountability Layers

Thu, 08 Sep 2022 11:00:00 +0000

Accountability Layers

Wed, 07 Sep 2022 01:00:00 +0000

Explaining Errors in Complex Systems

Thu, 18 Nov 2021 09:50:00 +0000

Explaining Errors in Autonomous Driving: A Diagnosis Tool and Testing Framework for Robust Decision Making

Thu, 11 Nov 2021 00:00:00 +0000

Perception Challenge for Autonomous Vehicles

Fri, 05 Nov 2021 00:00:00 +0000

Explaining Multimodal Errors in Autonomous Vehicles

Thu, 04 Nov 2021 00:00:00 +0000

I'm Recruiting PhD Students

Mon, 01 Nov 2021 00:00:00 +0000

Anomaly Detection Through Explanations

Wed, 14 Jul 2021 00:00:00 +0000

Explaining Explanations in AI

Wed, 12 May 2021 09:50:00 +0000

A stress testing framework for autonomous system verification and validation (v&v)

Fri, 01 Jan 2021 00:00:00 +0000

Anticipatory Thinking: A Testing and Representation Challenge for Self-Driving Cars

Fri, 01 Jan 2021 00:00:00 +0000

Identifying Multimodal Errors Through Explanations

Tue, 08 Dec 2020 00:00:00 +0000

A Knowledge Driven Approach to Adaptive Assistance Using Preference Reasoning and Explanation

Fri, 13 Nov 2020 00:00:00 +0000

Anomaly Detection Through Explanations

Fri, 28 Aug 2020 00:00:00 +0000

Anomaly Detection Through Explanations

Thu, 11 Jun 2020 00:00:00 +0000

Explaining Explanations

Tue, 05 May 2020 00:00:00 +0000

Explanation-based Anomaly Detection

Fri, 06 Mar 2020 00:00:00 +0000

I'm Recruiting PhD students

Wed, 04 Mar 2020 13:40:25 +0100

I am seeking creative, hard-working, PhD students (and master’s students and undergraduates) to join the XAI group at UCSC.

Come work with me on making complex mechanisms more understandable for debugging and diagnosis, accountability, and liability. We examine applications in autonomous driving, deep learning, and other mission-critical or safety-critical applications. Additionally, my work also examines the role of explanations for trustworthy ML, human-machine teams, AI and ethics, and AI safety and fairness.

UCSC undergrad

UCSC undergraduates are welcome to contact me about getting involved in research. Students interested in joining the group should have basic programming experience, and preferably, have taken CSE 140.

UCSC Master’s students

Current UCSC Master’s students interested in gaining research experience or looking for a supervisor for a research project may contact me.

In your introductory email, please include a CV/resume, and indicate a few topics or application domains of interest. I’ve listed a couple ongoing projects on the UCSC CSE master’s board.

Prospective PhD students

I’m currently looking to build the XAI group with driven, hard-working PhD students. Students will work on various projects with a focus on autonomous systems, robust machine learning, and/or explainability and interpretability.

In your introductory email, please include a CV/resume, and indicate a few topics or application domains of interest. (For inspiration, some ongoing projects are listed here, but feel free to define your own!).

Before contacting

Prospective PhD students, please review the UC Santa Cruz CSE PhD admissions requirements and ensure that you meet these requirements before contacting Prof. Gilpin. (Note: the GRE is no longer required!) I can only take on students that are accepted to a PhD program at UCSC.

I’m unable to provide insights about admissions decisions. The admission decisions are made by a committee.

Diversity statement

Explanatory AI is an interdisciplinary field which benefits from the perspectives and contributions of those from diverse voices (diversity broadly defined). We encourage anyone who shares our interests, including members of historically underrepresented and marginalized groups, women, LGBTQ+ folks, and people with disabilities (with diversity broadly defined), to consider joining us at UC Santa Cruz!

CSAIL Student Profile

Wed, 01 Jan 2020 00:00:00 +0000

Explaining Possible Futures for Robust Autonomous Decision-Making

Sat, 09 Nov 2019 00:00:00 +0000

Using Explanations for Robust Autonomous Decision Making

Wed, 23 Oct 2019 13:00:00 +0000

Learning From Explanations for Robust Autonomous Driving.

Sat, 15 Jun 2019 00:00:00 +0000

An Adaptable Self-Monitoring Framework for Opaque Machines

Mon, 20 May 2019 00:00:00 +0000

Monitoring Opaque Learning Systems

Sun, 05 May 2019 00:00:00 +0000

AI and ethics

Sun, 31 Mar 2019 10:50:48 -0400

Explanatory Games

Sun, 31 Mar 2019 10:50:48 -0400

Monitoring Decision Systems

Sun, 31 Mar 2019 10:50:48 -0400

The Car Can Explain!

Sun, 31 Mar 2019 10:50:48 -0400

Reports of the AAAI 2019 Spring Symposium Series

Tue, 01 Jan 2019 00:00:00 +0000

Automotive FOSS Panel

Fri, 02 Nov 2018 00:00:00 +0000

Self-Explanation and Self-Driving

Fri, 13 Apr 2018 00:00:00 +0000

Explaining Explanations to Society