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Event Date |
Thu Feb 29 GMT (10 months ago)
In your timezone (EST): Wed Feb 28 7:00pm - Wed Feb 28 7:00pm |
Location |
30 Fenchurch Street
30 Fenchurch St, London, UK, EC3M 3BD |
Region | EMEA |
Artificial intelligence (AI) can boost productivity through automation, data analysis and content generation to improve efficiency, enable more informed decision-making and help write text and computer code. With such appeal for businesses, it is no wonder that venture capitalists poured over $36bn into generative AI in 2023 alone.
But AI use carries tensions and risks. Some employees fear being replaced by these technologies, while others are daunted by the prospect of reskilling. For customers and service users, chatbots and digital assistants can provide immediate support, but often have limitations and could exacerbate the digital divide. Risks like biases and data misuse and breaches erode trust.
AI development must hold the technology’s users at its core. How can business leaders harness the benefits of AI while balancing the interests and needs of its users? What does a symbiotic relationship with AI look like as these technologies develop.
Discussion points include:
• How should companies think about what roles are augmented versus replaced? What is the optimum balance between human and machine in the workplace?
• How can companies develop human-centric AI systems that understand and augment user capabilities?
• What are the greatest shortcomings of AI solutions? How should corporate experience with AI and user feedback be harnessed?
• How can businesses build AI that is transparent, unbiased and safe? What are the shortcomings in the current frameworks and guidelines?
Who should attend:
C-suite and key influencers across all industries – CEOs, COOs, CSOs, CIOs, CTOs, CFOs, CMOs, CHROs, CDOs
2024 Speakers
Jeremy Kingsley
Senior Manager and Regional Lead (EMEA) for technology and Innovation, Economist Impact
Professor Mark Girolami
Chief Scientist, The Alan Turing Institute
Fernando Lucini
Global Lead for Data Science & Machine Learning, Accenture
2024 Sponsor
• Accenture