EVENTS AND THOUGHT LEADERSHIP

Evolving AI and technology requires research and understanding not only the base technology, but how it integrates into existing systems, and moreover, how it impacts process, policy, infrastructure and education. This is a continuous discussion among scientists, engineers, practitioners and policy makers.

Below include articles we’ve written, presentations from AI and Technology events where we’ve keynoted, plus upcoming events where we’ll be speaking. If you’d like more information on any topic, simply send a note our way and we’ll be in touch.

EVENTS


The Future of Work is Being Rewritten

Hessie Jones’ presentation at StartupFest Montreal provides a view into a future of uncertainty. Customers are adopting disruptive technologies faster than your company can you adapt.” Business Transformation is an inevitability. The market has already moved on but business today is mired in complacency, legacy systems and archaic processes. In the meantime, information and intelligence technology are moving at a faster pace. The future organization is connected to the market in real-time. It enables decision-making at all levels of the organization that is increasingly precise and effective. Here is the blog post on ForbesDownload

Can Business Complacency Survive in the Age of Algorithm?

Hessie Jones’ Keynote  at the the AI, Privacy and Ethics Conference at Ryerson University. Complimenting Ann Cavoukian’s Keynote on the need for Privacy by Design, Hessie Jones imparted the business perspective on the use of personal customer information, the difficulty in changing the business mindset, but the key industry changes that are turning everything we know on its head. Download

AI: Present and What’s Coming Next

Karen Bennet’s Closing Keynote at StartupFest Montreal asserts the AI Hype is just that. The promise of AI and all its benefits is yet to come to fruition. Karen points to fundamental mishaps in production across self-driving technology, facial recognition, among others plus evidence that technology, and most of all, industry, is just not ready to implement and fully embrace AI. Download

UPCOMING PRESENTATIONS

THOUGHT LEADERSHIP


What we don’t talk about when we talk about AI via IBM Industries

Quote Hessie Jones: “There are many hurdles to overcome: unexpected outcomes due to bias, lack of data representation, determining or access to the right datasets. The larger investment will come from the adjacent impacts of implementing AI: education, governance, retraining, and culture. This will all have spillover effects already impacting policy and legislation and how business will be mandated to make these changes ” Download

Can we get past the AI hype to understand where theory has become practical for everyday use? We’re not there yet. The promise of AI has yet to come to fruition. Hessie Jones and Karen Bennet lay witness to the rapid experimentation in machine learning and deep learning. This articles discuss the current hurdles from changing corporate mindsets to production errors, data integrity and why AI is just not ready for prime time. Article


Canadians Up In Arms: Privacy Without Consent And The Dangerous Precedent on Forbes

It’s the news that has taken Canada by storm of late, on Twitter, in the headlines, and in today’s parliamentary debate: Statistics Canada, Canada’s agency which issues statistical research on the state of Canada, its population, the economy and culture, unwittingly walked into the spotlight when Global News revealed the agency had asked TransUnion to provide financial transactions and credit histories on approximately 500,000 Canadians, without their individual prior consent. The Liberal government has endorsed this move. As Canada’s largest statistics agency establishes itself as the gateway to all Canadians’ personal information, it faces significant challenges beyond privacy concerns. Can this agency be accountable in a world where data is the new gold? Article


Geoff Hinton Dismissed The Need For Explainable AI: 8 Experts Explain Why He’s Wrong on Forbes

If the expectation is that automation will be ubiquitous in the next decade, reliance on human judgement will diminish. The promises of Artificial Intelligence are met with cautious optimism as the technology evolves and the environment around it attempts to keep pace. In this nascent period, industry, academia and lawmakers are grappling with the outcomes of these technologies and their impact on our social norms. The domino effect here created by AI will alter all facets of policy, technology and society. Geoffrey Hinton, Godfather of AI and Head of Google Brain dismissed the need for Explainable AI. His justification has set off a discourse among AI/ML practitioners in industry, academia and government, who were eager to refute his arguments.  Article