An opportunity to hear first-hand insight and ask questions on how regulation is taking shape, what to expect and what you can do to prepare now.
Get ahead of the curve with an understanding of how different businesses are proactively preparing as the US and EU start to align on future AI regulation. This panel will explore how regulation is likely to take shape and what organizations should be doing now to ensure they are proactively prepared.
Two-way communication is imperative for an effective business framework – and AI development is no different. But with disparate understanding, expertise and focus across different teams and sectors, how can organizations establish effective communication? A panel of experts will establish what works, what doesn’t and how to get there.
AI governance frameworks could help organizations learn, govern, monitor, and mature AI adoption and scale. While there is no one-size-fits-all approach, organizations can consider adopting processes to mitigate risk. This session will explore:
- What an effective AI governance and risk management framework looks like in practice
- The core principles that can be operationalized
- Implementation of a functional framework irrespective of available resources and organization size
- The most vital aspects of a framework and how to tailor them based on need
- Generating maximum additional value as a result
Trusted AI has huge potential to create long-term value for all stakeholders. But the cost of unethical application could be catastrophic. In this panel, experts from across different industries will discuss tangible use cases demonstrating the greater financial benefit to be derived from mitigating AI risk within the business and innovating responsibly.
Mitigating risk is a means to achieve optimal business outcomes and ethical concerns belong in the conversation. So how can organizations effectively bridge current divides between innovation and ethics, and catalyze previously impossible growth?
Betsy Greytok
VP of Ethics and Policy
IBM
Valeria Sadovykh
Technology Strategist
Microsoft
Oriana Medlicott
Senior Researcher - Technology & Innovation Strategy (Lead on AI Ethics)
Fujitsu
Oriana Medlicott is leading AI Ethics in the Technology Strategy Unit at Fujitsu. She is the co-founder and co-host of Let’s Chat Ethics Podcast and on the advisory board of the AI Ethics Journal at UCLA. Prior to Fujitsu, Oriana worked as an AI Ethics consultant with start-ups, think tanks and academia across the USA and Europe. In Autumn of 2022, Oriana will lecture introduction to AI Ethics in industry at Nottingham Trent University. She holds a Masters in Philosophy, looking at the Ethics of AI and Biotech.
Over the past few decades, several definitions of AI have surfaced. In its simplest form, AI combines computer science and robust datasets to enable problem-solving. But is AI technically just a model or should AI, machine learning and deep learning be categorized differently?
- Myth versus reality: what AI is and what it isn’t, what it can do and what it can’t
- The distinctions between artificial intelligence, machine learning, deep learning and neural networks
- Why those distinctions matter in terms of both determining the requisite risk considerations and identifying the most commercially viable use cases
AI has tremendous potential to create sustained long-term value – as long as you get it right. From day one of developing AI strategies, it is imperative that management understand the risks and the opportunities – and how ethics can influence them both