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Human and AI, Better Together?

  • Thursday 20th June 19 - 18:00 to 21:00
  • Close Brothers, 10 Crown Place, London. EX2A 4FT

AI is on the rise and that’s a fact. However, with the march of the robots, software or otherwise, fears about how our lives will be transformed have been a staple of science fiction for decades.

Whether you feel AI is a force for good or hide firmly behind the necessary paranoia of living in the company of Kubrick’s HAL 9000, we all have views on where the line needs to be drawn. So, what does this mean for business? The starting point for the answer here depends on what you want to achieve and what your appetite for risk is.

Join us for what promises to be an excellent session exploring the new order of AI and the ethical consequences of implementing AI based solutions.

We will explore:

* The use of AI to augment and support real world activities as an aid to real people the ethics of pushing the boundaries and simulating seemingly human interventions with AI
* The future of AI and the impact of algorithms teaching machines in business


Martin Goodson | Evolution AI

Martin Goodson is Chief Scientist and CEO of Evolution AI, and a specialist in machine reading technologies. He was recently elected as the Chair of the Royal Statistical Society Data Science Section, the main professional body for data science in the UK. He also runs the largest machine learning community in Europe, Machine Learning London. Martin’s work has been covered by publications such as the Economist, Quartz, Business Insider and Tech Crunch

Katie Gibbs | BJSS

Katie Gibbs is head of AI at BJSS, the UK’s leading privately-owned IT and Business Consultancy. Katie and her team cut through the hype to deliver design-led AI to ensure that the user experience remains at the heart of AI to drive long term adoption and high value solutions for enterprises.”

Chanuki Illushka Seresinhe | Popsa

Chanuki Illushka Seresinhe is a visiting data science researcher at the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. She also works commercially, currently as the Lead Data Scientist at Popsa and previously a Senior Data Scientist at Channel4.

Her research has been featured in the press worldwide including the Economist, Wired, The Times, BBC, Spiegel Online, Guardian, Telegraph and Scientific American. She received her PhD from the Data Science Lab, Warwick Business School, University of Warwick.

Jedidiah Francis | Jed.ai Labs

Founder and CEO of Jed.ai (pronounced Jedi), a Start-up Studio. Previously founded and led the Machine Learning team at ASOS.com designing and building Personalisation products.

I work at the intersection of business strategy, product design, machine learning and AI. I have 10+ years of experience in research, leading technical teams and building scalable machine learning software. I am enjoying exploring the broader business context and impact, as well as getting into the nitty-gritty with implementation details.


Paul Forrest | MBN Solutions

Paul has some twenty-five years’ experience of helping businesses to solve complex business problems, deliver their transformation goals and to achieve tangible strategic outcomes. Hands on and deep thinking, he has worked with many FTSE 100 clients, Global 500 businesses and major Government entities around the world including Ford Motor Company, VAG Group, BAE Systems, GSK, AkzoNobel, RBS, HBOS, Diageo, Bacardi, Wal-Mart, British Airways, Virgin Galactic, Etisalat, British Telecom, Vodafone and Allen & Overy