Name: Building a Trusted AI-based System: Bringing it All Together
Start: 2022-01-25T12:00:00+00:00
End: 2022-01-25T14:00:00+00:00
Location: Webinar

This event has passed.

Building a Trusted AI-based System: Bringing it All Together

25th January 2022 @ 12:00 pm - 2:00 pm

Building a Trusted AI-based System: Bringing it All Together

In this third and final webinar we discuss how to build a trusted AI-based system. This includes demonstrating that the integration of cloud processing with the edge devices and communication infrastructure discussed in previous webinars is secure as well functional.

The webinar should help attendees to better understand what is required to demonstrate that an AI-based distributed system can be trusted.

Agenda

12.00	Introduction
12.05	Dan Wilkinson – Graphcore
12.25	Peter Davies – Thales
12.45	Chris Longstaff –Mindtech Global
13.05	Dr William Jones – Embecosm
13.25	Close

NMI Electronic Systems Design Group Presents a Series of 3 Webinars: Building a Trusted AI-based System

Artificial Intelligence (AI) based systems are becoming prevalent in a wide range of industries, distinguishing new innovative products with inference capabilities. However, their introduction brings additional challenges regarding their reliability, safety and security…

Building a Trusted AI-based System

This series of 3 free-to-attend webinars will outline those challenges and how they can be demonstrably overcome or mitigated.

The 3 foundation webinars will first consider how AI-based systems are constructed from building blocks (e.g. AI-enabled sensors and actuators), the infrastructure that connects them, and how this is integrated into an intelligent system. Subject area experts will first outline the specific safety and security challenges (e.g. sufficiency of edge-AI training sets, wider security attack surface), and then consider potential solutions and their verification. Ultimately, the objective is to demonstrate that such systems can be reliably used in the target application.

Attendees, whether from a hardware, software or system background, will be able to learn from subject matter experts to better understand the challenges and solutions in building AI-based products and systems that are demonstrably reliable, safe and secure. Sponsors will have the opportunity to showcase their solutions for overcoming these challenges.

Speakers

Details

Dan Wilkinson, Graphcore

Daniel Wilkinson is currently Chief Architect for Silicon Systems at Graphcore, was Graphcore’s second ever employee, and has been leading the architecture of Graphcore’s Intelligence Processing Unit™ for six years. Prior to Graphcore he held leadership positions at XMOS Semiconductor in applications and silicon verification for seven years, and 10 years prior to that at Broadcom, Elixent, Clearspeed and ST Microelectronics in Bristol, working in diverse areas of chip design.

Presentation: Zero Trust Cloud for Edge and IOT Machine Intelligence

Architects and engineers developing edge or IOT based Machine Intelligence applications often rely on the cloud for services such as accelerated machine intelligence inference and training, storage, analytics and monitoring. These kinds of hybrid edge/cloud applications exist across diverse application areas and will all have different threat models, security and resilience requirements. This talk asks the question of to what extent you can trust the cloud environment, and summarises what options are available to you if you can’t. Alternative threat models are outlined along with the hardware and software requirements that must be implemented in the edge/IOT application and the cloud environment to meet them.

Dan Wilkinson

Graphcore

Details

Dr William Jones, Embecosm

Dr Jones has a research background in computational neuroscience, focused on the areas of consciousness, cognition, and meta-cognition. In industry, before his current role, William had a short but highly successful stint as the co-founder and CTO of the cryptocurrency Arweave.

In his current role, Dr Jones heads AI and Machine Learning efforts at Embecosm, a consultancy that solves open source problems in many challenging areas, with a focus on compilers, tool chains, embedded systems, and operating systems. His current work is focused on Bayesian methods and statistical computing.

Presentation: The Challenge of Trusting AI

One of the prominent challenges in AI is not just to build systems that are effective problem solvers, but to build systems that humans can understand and trust to be explainable, fair, robust, transparent, and private – Trusted AI. This is an enormously challenging problem, because even over and above the bare minimum necessity of a robust and secure architecture for collecting and processing data at the edge, disseminating it through data networks, and processing it in the cloud, AI suffers from several unique vulnerabilities that bad actors can exploit. In this talk, we examine some of these less-traditional attack vectors, and discuss what needs to be considered (and done) to make an AI system truly Trusted.

Dr William Jones

Embecosm

Details

Peter Davies, Thales

I love what I do, approach everything with energy and enthusiasm and can always see an angle. As a Technical Director of Thales in the UK I have been their leading expert on Cryptography in the UK responsible for providing cryptography and information security direction and expertise on a variety of products and projects. Previous work includes the development and certification of flexible and interoperable commercial security solutions that are also widely used by governments; these solutions are available worldwide and support the security of both communications and infomatics in an international, multi grade environment. My specialist knowledge is at the core of the cyber defence and forensics activities that I undertake combatting existential treats against business. I can, and have, interacted on security and products at any level from Prime Minister, through Board to deep technical including Agencies, Certification Labs and partners developing and sustaining business opportunities worldwide. I have generated patents in the area of digital DNA and my research covers aspects of technical security as well as aspects of super-identities and their role in combatting human based cyber-attacks. I have lead EU security research contract and have acted as a n expert on others. As well as contributing to standards I am a frequent speaker at international conferences and deliver lectures to postgraduate information and cyber security programmes in the UK and worldwide.

Peter Davies

Thales

Details

Chris Longstaff, Mindtech Global

Chris Longstaff is an industry veteran, having worked throughout his career at leading technology companies such as LSI Logic, AMD and Imagination Technologies. He has been responsible for development and launching of products across a broad spectrum of visual technologies including video codecs, ISP, GPU and AI processors. Chris is now at Mindtech Global, where he is VP Product Management. Mindtech Global is a UK company producing a AI training data platform, Chameleon, focused on Synthetic Data. Mindtech’s vision is to empower innovation in AI through the democratization of training data.

Presentation – Training and test data, a key part of any trusted AI system: Your Data strategy will make or break your AI deployment.

Chris Longstaff

Mindtech Global

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