On Nov 16, 2022, leaders & experts from government, industry, and academia will convene to discuss the challenges and opportunities of human & machine intelligence.

Is the future of AI data- or knowledge-first? Can machines learn from human experience? What are the key lessons in combining data & knowledge for life-critical applications?

Gen. Stephen J. Hager
Major General USCYBERCOM (ret.)

Gen. Stephen J. Hager


Recently retired from active duty, Gen. Hager’s most recent posts included USCYBERCOM and the US Cyber National Mission Force, reporting to Gen. Nakasone, NSA Director. First commissioned in 1987, he was one of the few military officers with advanced engineering degrees from Silicon Valley. He has served in CENTCOM, DODIN, with deployments to Africa and Southwest Asia.

Urbashi Mitra, PhD
USC Viterbi Gordon S. Marshall Chair in Engineering and Professor of ECE & CS

Urbashi Mitra, PhD

USC Viterbi

Director of the USC Information, Inference & Intelligence Group. Dr. Mitra is the USC Viterbi Gordon S. Marshall Chair in Engineering and Professor of ECE & CS. Her work includes underwater acoustic comm, wireless body-area networks for health, and sensor networks, under programs sponsored by Office of Naval Research and the NSF (Mobile Underwater Networks).

Christopher Nguyen, PhD
CEO Aitomatic
President Arimo-Panasonic, Engineering Director Google

Christopher Nguyen, PhD


CEO of Aitomatic, a Knowledge-First ML company. He works with leading industrial companies like Panasonic, Tesla, and Westinghouse to help get fresh fish from the ocean to your dining table, make efficient batteries for your vehicles, and keep them safe from cyber attacks. Dr. Nguyen was president of Arimo-Panasonic, eng. director at Google, and professor of computer engineering at HKUST.

Merwan Mereby
Vice President @ Wesco, Digital Platform

Merwan Mereby

WESCO (née Westinghouse)

VP of Digital Platforms at WESCO (formerly Westinghouse). Mr. Mereby has led global incubation & expansion of connected products & cloud-based industrial applications. He has led acquisitions of AI companies, managed sales/distribution strategies & policies. He has identified and forged strategic partnerships and managed relationships with other Fortune 500 companies.

Hiroshi Kutsumi
Director @ Panasonic

Hiroshi Kutsumi


Director at Panasonic, leading its Global Digital & AI Technology Center. His organization provides the bridge between leading-edge technologies and customer solutions through the business divisions. A veteran exec at Panasonic, Kutsumi-san is a senior leader in the CTO organization, bringing to market innovative products from autonomous robots to AI-based predictive maintenance.

Jeremy Coupe, PhD
Leader at NASA ATM-X

Jeremy Coupe, PhD


Leader in NASA’s Advanced Air Mobility Mission. Through ATM-X (Air Traffic Management eXploration), he aims to safely accommodate the growing demand of new air vehicles. He worked closely with the FAA as Lead for NASA’s Airspace Technology Demonstration-2 Machine Learning Airport Surface Model. Dr. Coupe received his PhD in Computer Engineering from UC Santa Cruz.

Chao Hu, PhD
Prof. of Mechanical Engineering, UConn.

Chao Hu, PhD

University of Connecticut

Assoc. Professor, Dept of Mechanical Engineering at the University of Connecticut. Dr. Hu’s research expertise is engineering design under uncertainty, post-design failure prognostics, with applications to Li-ion batteries, rotating machinery, and structural systems. His work on Intuitive Predictive Maintenance of Industrial and Agricultural Equipment is funded by the NSF.

Chetan Gupta, PhD
Head, Industrial AI at Hitachi

Chetan Gupta, PhD


Head, Industrial AI at Hitachi. Dr. Gupta also co-leads the Hitachi Global AI Center of Excellence. He leads teams of data scientists, architects and developers to build fundamental horizontal technologies for Industrial AI, and solutions for verticals such as mobility, manufacturing, mining, energy management systems, and industrial analytics. He earned his MS and PhD in CS and ChemE from UIC.

Steve Jiang, PhD
Barbara Crittenden Professor in Cancer Research, UT Southwestern Medical Center

Steve Jiang, PhD

UTSW Medical

Crittenden Chair Professor in Cancer Research, and Chief of Medical Physics & Engineering, Radiation Oncology, at UTSW Medical Center. Dr. Jiang leads the Medical AI & Automation (MAIA) Lab, incorporating human knowledge into deep learning for radiation therapy. He is Fellow at both the Am. Inst. for Medical & Biological Engineering, and the Am. Assoc. of Physicists in Medicine.

James Cham
GP Bloomberg Beta VC

James Cham

Bloomberg Beta VC

Co-founding General Partner, Bloomberg Beta, a highly successful early-stage venture capital firm with a soul, based in Silicon Valley. Bloomberg Beta invests funds from a single LP: the billionaire Mayor Bloomberg. Mr. Cham is a thought leader in the future of AI and its business models. He earned his BS CS from Harvard and an MBA from the MIT Sloan School of Management.

Jude Shavlik, PhD
Prof. (Emer.) of CS & Medical Informatics, UWisc

Jude Shavlik, PhD

UWISC (Emer.)

Professor (Emeritus) of Computer Science and of Biostatistics & Medical Informatics at the University of Wisconsin-Madison. Dr. Shavlik is a recognized expert in the application of human knowledge to ML, pioneering such architectures as Knowledge-Based Artificial Neural Networks (KBANN). He specializes in “Learning algorithms that take advice” and ML applied to biomedical tasks.

Paco Nathan
Managing Partner, Derwin AI

Paco Nathan

Derwen AI

Managing Partner at Derwen AI. Mr. Nathan works with leading industrial companies like BASF and Siemens on European AI initiatives. He is a recognized expert in natural language processing & understanding, data science, cloud computing, with 40+ years tech academic & industry experience, ranging from Berkeley, Stanford, Bell Labs to early-stage start-ups.

Take The Stage at
K1st World 2022

Submissions due Aug 20, 2022

Are you working on new research or a groundbreaking knowledge-based approach to Machine Learning?

Are your ideas big and innovative? Are your stories or case studies impactful? Do you have awesome tips and tricks, how-to-and-whys, and best practices leveraging human knowledge for ML?

Share it with the community who understand your impact on the future of Machine Learning. Submit your proposals. We’d love to bring your work in front of the largest and only gathering of Knowledge-first ML academia and professionals.

Perks of presenting
at K1st World

A free ticket to all our sessions

Expose the Knowledge-First ML community to new tools, practices, or ideas.

Expand your technical, professional, and personal networks.

Share your discoveries with a large audience.

Grants to assist with your travel and lodging expenses are available

Choose these talk tracks

Industry Applications


Knowledge-First ML: Data Augmentation

Knowledge-First ML: Ensembling

AI Ethics + Human Control

K1st World

Physical, human-centered systems present unique challenges. Up to now, Silicon Valley has assumed a digital, computer-centered world.

Knowledge-First AI prioritizes human experience alongside data. This promotes powerful, yet safe, reliable and trustworthy ML/AI systems.

K1st World Symposium
is a hybrid event for leaders from government, industry, and academia to discuss the challenges and opportunities of combining human & machine intelligence.

Featured topics:

  • Knowledge-First and Model-Based ML Research
  • Human-Centered AI: Trust & Safety
  • Industrial Application Successes & Failures

Program Management

Ben Lorica, PhD

Program Chair

Former Chief Data Scientist, O’Reilly. Past Program Chair of Strataconf.com, TheAIconf.com, Tensorflow.world, and #SparkAISummit. Dr. Lorica hosts the Data Exchange Podcast, focused on data, machine learning and AI. He also produces Gradient Flow, named by Coursera as a Top-10 Site for Data Scientists. He earned his PhD in Mathematics from UC Santa Barbara.

Timothy Rozario, PhD

Technical Program Chair

Head of AI Solutions Engineering, Aitomatic, leading teams to build cutting-edge Industrial AI solutions that leverage domain expertise. Dr. Rozario applied ML to radiation treatment at UT Southwestern Medical. At Siemens Automation, he helped enterprises to improve automation capabilities. He earned his PhD in CS from UT Dallas.


Tue, Nov 15

  • Networking Reception

Wed, Nov 16

  • Keynote Sessions
  • Presentation Sessions
  • Dinner Social

Thu, Nov 17

  • Executive Sessions


For a limited time, save 50% ticket prices with the code EARLYBIRD50.
Prices go up September 1st.


Keep at the forefront of Knowledge-First machine learning technology.

Nov 15-16

Complete access to sessions & programming

  • Keynote & Presentation sessions
  • Complimentary lunch & networking
  • Cocktail social on arrival day (Nov 15)
  • On-demand access to all sessions post-event

$ 899 



Exclusive events with the industry's biggest names. Space limited.

Nov 15-17

Everything from our General Pass plus

  • Exclusive Executive Session access
  • Reserved seating for keynote sessions
  • Meet & learn from some of the industry's biggest names
  • Concierge assistance for special hotel rates

$ 1,799 



A limited number of slots are available for full-time students or professionals <5 years into your career. Provided by our generous sponsors. May attend in-person or online.

Nov 15-16

Complete access to sessions & programming

  • Keynote & Presentation sessions
  • Cocktail social on arrival day (Nov 15)
  • On-demand access to all sessions post-event

$ 0 



Participate online to keep up with the latest in Knowledge-First ML, wherever you are.

Nov 16, online access

  • Livestream of keynotes and selected sessions
  • On-demand access to all sessions after the event

$ 199 



Early-Career Participation Support: 
Our generous sponsors are providing a limited number of registrations and travel subsidies.

Quote Profile

"Must-attend for any AI team."

Dr. Timothy Rozario

PhD, University of Texas, AI Engineer at Aitomatic