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Time

Presenter (click name for video)

Organization

Topic

9:00-9:10

Dean Alderucci & Sean Tu

Carnegie Mellon / West Virginia U College of Law

Welcoming Remarks

9:10-9:30

Deputy Director Laura Peter

US Patent & Trademark Office

Keynote Address

AI in the World IP Offices

9:30–9:45

Matthew Such

US Patent & Trademark Office

Artificial Intelligence Tools for Patents at the USPTO

9:45–10:00

Alexander Klenner-Bajaja

European Patent Office

Transformer models speaking the language of patents (abstract)

10:00–10:15

Bruno Pouliquen

World Intellectual Property Organization

WIPO Translate and other AI tools developed at WIPO (abstract)

10:15–10:30

Oleg Ena

FIPS, Russian Patent Office

Artificial Intelligence–What Do We Lack in Making Truly Business-Valuable Patent Analytics? (abstract)

10:30–10:45

Chris Harrison

UK Intellectual Property Office

AI-assisted Patent Prior Art Searching – A Research Study (abstract)

Michael Burn (pre-recorded video)

IP Australia

Machine Learning Patent Tools at IP Australia

10:45–11:15

IP Office Panel Discussion

How Should AI Be Improved to Support Patent Offices

Matthew Such

US Patent & Trademark Office

Alexander Klenner-Bajaja

European Patent Office

Bruno Pouliquen

World Intellectual Property Organization

Oleg Ena

FIPS, Russian Patent Office

Graham Rivers-Brown

UK Intellectual Property Office

11:15-11:30

Break

AI and the Patent System

11:30-11:45

Dan Burk

UC Irvine Law

AI Bias in the IP System (abstract)

11:45-12:00

Jonathan Ashtor

Paul Weiss

Investigating Cohort Similarity

12:00–12:15

Daniel Gervais

Vanderbilt Law School

AI and patents: A few new, some obvious, and some possibly useful comments

12:15-12:30

Matt Marx

Boston University

Reliance on Science in Patenting

12:30-12:45

Pavan Agarwal

Foley & Lardner

Considerations for AI IP in Business Collaborations (abstract)

12:45-1:00

Amy Cyphert / Sam Perl / Sean Tu

Carnegie Mellon / West Virginia U College of Law

GPT-3 and USPTO Ethics Issues (abstract)

1:00-1:15

Tabrez Ebrahim

California Western School of Law

Automation & Predictive Analytics (abstract)

1:15 – 1:30

Break

AI in Practice

1:30-1:45

Jonathan Liu

Facebook

Balancing Your Portfolio

1:45-2:00

Eric Sutton

Oracle

Embedding AI Into Automated Patent Workflows (abstract)

2:00–2:15

Tom Franklin

Kilpatrick Townsend / Triangle IP

Bridging the Publication Window Blackout (abstract)

2:15-2:30

Steve Maebius

Foley & Lardner

AI-Based Patent Analytics For Patent Validity Challenges – Where Are The Greatest Opportunities To Apply AI Right Now?

2:30-2:45

Break

Customized Machine Learning for Patents

2:45-3:00

Dean Alderucci

Carnegie Mellon Ìý

NLP for Claim Limitations and Claim Scope

3:00-3:15

Linda Andersson

Artificial Researcher IT GmbH

Domain Knowledge makes Artificial Intelligence Smart (abstract)

3:15-3:30

Samantha Zyontz

Stanford Law School

NLP to Create New Application Categories (abstract)

3:30-3:45

Ian Schick / Ahsan Shaikh

Specif.io / McDermott Will & Emery

AI Patent Drafting (abstract)

3:45-4:00

Sam Zellner

PQAI

The PQ AI Open Source AI Patent Platform (abstract)

4:00-4:15

Liping Yang

University of New Mexico

Processing Patent Images ) (abstract)abstract

4:15-4:30

Atul Raghunathan

Carnegie Mellon Ìý

NLP to Classify Beauregard Claims

4:30-4:45

Krati Jain

Carnegie Mellon Ìý

NLP for Identifying Term Definitions in Patent Specifications

4:45

Dean Alderucci & Sean Tu

Closing Remarks