Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Schedule: Ethics, Privacy, and Security sessions

9:50–10:00 Wednesday, 10 October 2018
Location: King's Suite
Ruchir Puri (IBM)
TBC Read more.
11:05–11:45 Wednesday, 10 October 2018
Implementing AI
Location: King's Suite - Balmoral
Yishay Carmiel (IntelligentWire)
Average rating: *****
(5.00, 1 rating)
In recent years, there's been a quantum leap in the performance of AI, as deep learning made its mark in areas from speech recognition to machine translation and computer vision. However, as artificial intelligence becomes increasingly popular, data privacy issues also gain traction. Yishay Carmiel reviews these issues and explains how they impact the future of deep learning development. Read more.
11:05–11:45 Wednesday, 10 October 2018
Location: Hilton Meeting Room 3-6
Ruchir Puri (IBM), Hilary Kerner (Vice President, IBM Watson Marketing)
Average rating: *****
(5.00, 1 rating)
TBC Read more.
11:55–12:35 Wednesday, 10 October 2018
Models and Methods
Location: Windsor Suite
Alan Mosca (nPlan | Birkbeck, University of London)
Alan Mosca shows how any deep learning model can be improved and made more secure with the use of targeted ensemble methods and other similar techniques and demonstrates how to use these techniques in the Toupee deep learning framework to create production-ready models. Read more.
11:55–12:35 Wednesday, 10 October 2018
Models and Methods
Location: King's Suite - Balmoral
Ryan Micallef (Cloudera Fast Forward Labs)
Average rating: ****.
(4.00, 1 rating)
Imagine building a model whose training data is collected on edge devices such as cell phones or sensors. Each device collects data unlike any other, and the data cannot leave the device because of privacy concerns or unreliable network access. This challenging situation is known as federated learning. Ryan Micallef discusses the algorithmic solutions and the product opportunities. Read more.
13:45–14:25 Wednesday, 10 October 2018
Implementing AI
Location: King's Suite - Balmoral
Rupert Steffner (WUNDER)
Average rating: ***..
(3.00, 1 rating)
The increase in automated decision making, along with doubts in the quality of algorithmic decisions, has driven demand for transparency and accountability in AI. Rupert Steffner explains why the shift from black box to white box is a great opportunity to build AI models that create trust with the user and shares Sense-Infer-Act-Learn, a logical AI execution model to enable a more trustworthy AI. Read more.
14:35–15:15 Wednesday, 10 October 2018
Interacting with AI
Location: King's Suite - Balmoral
Rachel Bellamy (IBM Research), Casey Dugan (IBM Research)
Data bias is not only an AI problem; it's also a UI problem. Non-AI experts use custom application interfaces to help them make decisions based on predictions from machine learning models. These application interfaces need to be designed so that the decisions made are unbiased. Rachel Bellamy and Casey Dugan explain how to represent model predictions so that people can recognize if they are fair. Read more.
16:00–16:40 Wednesday, 10 October 2018
Models and Methods
Location: King's Suite - Sandringham
Pin-Yu Chen (IBM Research AI)
Average rating: *****
(5.00, 1 rating)
Neural networks are particularly vulnerable to adversarial inputs. Carefully designed perturbations can lead a well-trained model to misbehave, raising new concerns about safety-critical and security-critical applications. Pin-Yu Chen offers an overview of CLEVER, a comprehensive robustness measure that can be used to assess the robustness of any neural network classifiers. Read more.
9:40–9:55 Thursday, 11 October 2018
Location: King's Suite
Supasorn Suwajanakorn (VISTEC (Vidyasirimedhi Institute of Science and Technology))
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people. Read more.
11:05–11:45 Thursday, 11 October 2018
AI Business Summit
Location: Blenheim Room - Palace Suite
Susan Etlinger (Altimeter Group)
Average rating: *****
(5.00, 2 ratings)
Susan Etlinger explores how AI fundamentally changes the relationship between people and businesses, lays out its risks and opportunities, and demonstrates emerging best practices for designing customer-centric and ethical products and services. Read more.
11:05–11:45 Thursday, 11 October 2018
Marc Warner (ASI)
Average rating: ****.
(4.00, 1 rating)
How can AI impact national security? Collaborating with the UK Home Office Counterterrorism Unit, ASI Data Science built a tool that removes extremist propaganda from the web. Drawing on this experience, Marc Warner discusses the role of AI in the fight against terror and explains how shared access to this technology may be part of the answer. Read more.
11:05–11:45 Thursday, 11 October 2018
Location: Westminster Suite
Andrew Trask (OpenMined)
Andrew Trask details the most important new techniques in secure, privacy-preserving, and multiowner governed artificial intelligence and offers a demonstration of the OpenMined project. Read more.
11:55–12:35 Thursday, 11 October 2018
AI Business Summit
Location: Blenheim Room - Palace Suite
Max Gadney (After the flood), Sabih Ali (After the Flood)
Max Gadney and Sabih Ali explore some of the ways designers and product teams are designing systems with transparency, trust, and privacy in mind. Read more.
13:45–14:25 Thursday, 11 October 2018
Implementing AI
Location: Hilton Meeting Room 3-6
Katharine Jarmul (KIProtect)
When you train a model on private data, how much of that information does the model retain? Katharine Jarmul reviews research on attacks against models to extract training data and expose potentially sensitive information. Katharine then shares potential defenses as well as best practices when training models using private or sensitive data. Read more.
14:35–15:15 Thursday, 11 October 2018
Aileen Nielsen (Skillman Consulting)
We're in the year of the AI fake out. "Fake news" is the order of the day, as nebulous chatbots have become significant political actors. Startups peddle robotically handwritten notes and algorithmically personalized gifts for our loved ones. Soon we won't even be able to tell if a customer service agent is a real person. Aileen Nielsen asks, How should we redefine intelligence as fakes flourish? Read more.
16:00–16:40 Thursday, 11 October 2018
AI Business Summit, Impact of AI on Business and Society
Location: Blenheim Room - Palace Suite
Marie Johnson (Centre for Digital Business Pty Ltd)
What does a workforce augmented by digital humans look like? Marie Johnson shares the story of the creation of Nadia, the world’s first digital human for service delivery. Drawing on her experience developing the concept and leading the delivery, Marie presents a framework to help leaders meet exponential changes across industries augmented by digital humans, including healthcare. Read more.