- #RISK A.I. London
- …
- #RISK A.I. London
- #RISK A.I. London
- …
- #RISK A.I. London
#RISK AI SERIES will attract a senior audience of 1,000 decision makers across three cities:
Boston (October 9th) - London (November 19th) and Dubai (December 11th)
Interested in exhibiting? Download the #RISK A.I. Series Brochure by completing the form below!
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"AI’s rapid advance threatens to overwhelm all efforts at regulation. We need our best tech experts competing to rein in AI as fast as companies are competing to build it."
— Eric Schmidt.
It is crucial for Governance, Risk, and Compliance professionals to have a deep understanding of the risks associated with Generative Artificial Intelligence.
While it's not yet clear who will ultimately oversee the Governance, Risk, and Compliance elements of Gen AI in an organisation, it is evident that key leadership figures are taking proactive measures to assume responsibility in this area.
#RISK A.I. London will address the pressing issues in a thought leadership environment, seeking a balance between AI innovation and AI governance.
"There's a tidal wave coming"
— Time Magazine
“Forget artificial intelligence – in the brave new world of big data, it’s artificial idiocy we should be looking out for.”
— Tom Chatfield
“We need to make sure that the benefits of artificial general intelligence accure to as many people as possible... to all of humanity, ideally.”
— Demis Hassabis, Google DeepMind CEO & Co-Founder
Although the overall accountability for AI governance rests with senior management, the board of directors, or a designated Chief AI Officer (CAIO) or Chief Data Officer (CDO).
Effective AI governance requires collaboration across different functions within the organisation to address legal, ethical, operational, and reputational risks associated with AI technologies.
AI responsibilities are currently dispersed across various siloed groups, leading to inefficiencies and missed opportunities for collaboration. To maximize the potential of AI it is imperative for organisations to break down these silos and foster greater integration and communication among teams.
#RISK AI London will explore how organisations navigate regulations while planning long-term AI strategies.
On the 19th November #RISK AI London will focus on the common themes in the regulatory landscape:
- Accountability
- Privacy and dataprotection
- Safety, security, and reliability
- Transparency
- Bias
- Human agency and oversight