14 - 15 September 2022
London AI Summit
Get your ticket3-IN-1 CONFERENCE EXPERIENCE • SELECT YOUR TRACK
CONFIRMED SPEAKERS INCLUDE
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Mack Wallace
CEO & Co-Founder
Pymetrics
Creating Unbiased AI: How AI Can be More Compliant with Employment Regulation
When it comes to artificial intelligence (AI), many have highlighted the need for more thoughtful, beneficial design. Learn what principles pymetrics' CEO, Dr. Frida Polli, believes are key to using it exclusively for good, including when it comes to compliance of employment regulation. These principles include:
• Supporting user data privacy and ownership so that users are empowered, not overpowered by technology
•Training AI with unbiased data and auditing algorithms for disparate impact to yield unbiased results
• Aiming for full transparency around data going into algorithms and subsequent outcomes
• Using open-sourced methods to allow for quality assurance
Dr. Frida Polli is an award-winning Harvard and MIT trained neuroscientist turned CEO and a global thought leader on both the future of work and ethical AI, including how the latter will play a critical role in shaping this future.
She is the founder and CEO of pymetrics, a talent matching platform that uses behavioral data and audited AI to help companies like Unilever, LinkedIn, and Accenture better understand their workforce, as well as make fairer and more predictive people decisions.
Frida was a pre-doctoral fellow at Harvard Medical School, a postdoctoral fellow at MIT, as well as a Life Science Fellow at HBS. She has appeared on CNN, BBC, MSNBC, BloombergTV, and NPR, as well as presented as a WEF Tech Pioneer at the World Economic Forum in Davos, the President’s Circle at the National Academy of Sciences, and other major scientific and world conferences.
Confirmed Attendees
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Venue
133 Houndsditch
Liverpool Street, London, EC3 7BX
etc Venues is located near to Liverpool St. Station in The City of London
WHAT PEOPLE SAY ABOUT RE•WORK






We’ve been working with the team at RE•WORK for the last 5 years. It’s been nothing but a great experience. They’ve worked super hard to build their reputation in the market as being one of (if not THE) best global, dedicated AI Conferences around

The Deep Learning Summit was one of the best-organized conferences I'd been to and I cover dozens every year. There was a diverse range of very inspiring speakers, and the event facilitated meaningful connections between attendees

Partners
Cognigy
Cognigy, a market leader in Conversational AI, powers up enterprise contact centers to exceed customer expectations, improve agent satisfaction, and rapidly respond to market changes. The Cognigy.AI platform enables next-generation customer service with a suite of solutions, including Conversational IVR, Smart Self-Service, and Agent + Assist. In addition, Cognigy.AI gives the enterprise all it needs to deliver fully personalized multilingual services available on all voice and chat channels 24x7.
For more information and to book a demo visit: www.cognigy.com
LXT
LXT is an emerging leader in AI training data to power intelligent technology for global organizations. In partnership with an international network of contributors, LXT collects and annotates data across multiple modalities with the speed, scale and agility required by the enterprise. Our global expertise spans more than 115 countries and over 750 language locales.
Visit websiteSama
Sama provides accurate data for ambitious AI. The company’s high quality training data platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by over 25% of Fortune 50 companies.
Visit websiteValohai
Models are temporary; pipelines are forever. Valohai is the only MLOps platform that automates everything from data extraction to model deployment.
The Valohai platform makes machine learning in production easy. Data scientists and machine learning engineers can work together to build end-to-end machine learning pipelines that take in new data, train a model, and deploy to production automatically. Everything trained on Valohai is automatically stored and versioned, so every model is always reproducible, and work is never lost.
The platform is technology agnostic and ready for any cloud or on-premise setup, so even the strictest security requirements can be met.
Haptik
Haptik-powered Intelligent Virtual Assistants (IVA) are driving the world's transition to AI-powered conversations. Hundreds of Haptik clients globally have built robust solutions with our Enterprise CX platform. Our Commerce Plus platform uses Conversational AI to offer your visitors support at the right time to guide them to the right product, driving enhanced CX and improved conversions. These interactions increase sales and reduce costs by amplifying engagement and delivering delightful support experiences to prospects and customers 24/7, 365 days a year. They also don't show up late and take time off; they are always learning, working hard, and improving performance!
Visit websiteCyara
Cyara is the world’s leading Automated Customer Experience (CX) Assurance platform, headquartered in Silicon Valley. Cyara’s cloud-based omnichannel assurance solutions for voice quality and chatbot testing accelerate the delivery of flawless customer journeys for enterprises while reducing the risk of customer-facing defects. Cyara Botium, part of Cyara's award-winning CX Assurance Platform, is an integrated solution that performs every type of testing required to assure your chatbots and conversational AI systems provide a seamless CX. Every day, major global brands trust the Cyara Platform to deliver customer smiles at scale.
Visit websiteV7
V7 is the leading training data platform for computer vision, powering the next generation of AI applications for some of the world's largest companies.
Built by ML engineers for ML engineers, with V7, ML teams can manage, train, and deploy computer vision models at speed and scale.
V7's advanced annotation suite allows for easy annotation of video, image, and text data to solve any CV task from image classification to instance segmentation, object tracking, and more. Our Auto Annotate feature empowers annotators to create pixel-perfect labels in one click - instantly and without prior training.
Dataset and Workflow management enables full visibility and control for teams to manage AI data in a single ML-Ops platform. Managed labeling services, a powerful integrations suite, and a robust SDK ensures V7 slots seamlessly into your existing setup to build high-quality, accurate datasets and successful ML pipelines up to 10x faster.
Palantir
Palantir is a software company that builds the world's leading platforms for data-driven operations and decision-making, Palantir Gotham and Palantir Foundry. We develop long-term partnerships with organizations, working together to help them realize the value in their data and transform how they operate.
Our platforms power critical operations for defense and civilian government agencies worldwide and commercial companies in dozens of industries from finance to manufacturing to pharma R&D. We also donate our software and services to select nonprofits dedicated to improving human lives.
Palantir was founded in 2004 by three software engineers and a philosopher with a mission to help intelligence agencies make better use of data while preserving privacy and civil liberties. Today, more than 2500 Palantir employees work in offices around the globe, including in Denver, Palo Alto, Washington D.C., New York, London, Paris, Sydney, Tokyo, and Abu Dhabi.