Head of Artificial Intelligence and a Member of the Executive Committee at the World Economic Forum; one of the foremost experts in the world on the governance of artificial intelligence (AI). Barrister, former Judge and Professor, technologist and entrepreneur who has an abiding interest in how humanity can equitably benefit from new technologies, especially AI. Associate Barrister (Doughty Street Chambers), Master of the Inner Temple, London and serves on the Lord Chief Justice’s Advisory Panel on AI and Law. Co-founded AI Global and was the world’s first Chief AI Ethics officer in 2014 and created the AIEthics twitter hashtag. Vice-Chair of The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems and was part of the group that met at Asilomar to create the Asilomar AI Ethical Principles. On the Polaris Council for the Government Accountability Office (USA), the Advisory Board for UNESCO International Research Centre on AI and AI4All. Advanced degrees in Law and International Relations and regularly speaks to international audiences addressing many aspects of the beneficial and challenging technical, economic and social changes arising from the use of AI.
La inteligencia artificial puede ser transformadora para los negocios, pero las empresas deben invertir primero en una IA responsable para minimizar el riesgo y maximizar las inversiones.
Top AI stories: Biden implements US-EU data sharing framework; Why AI will never rule the world; Creative AI; AI solves dinosaur footprint question.
Artificial intelligence can be transformative for business, but companies should first invest in responsible AI to minimize risk and maximise investments.
A new AI Bill of Rights outlines five key protections. Many feel the document is a critical starting point but wish more checks and balances existed to keep AI accountable.
The more we make responsible AI an expectation and a known commodity, the more likely we are to make it our reality. This enables us to flourish with more accessible AI.
Edge AI make decisions at the closest point of interaction with users - the definition of split-second decision-making. Here's how it could benefit lives.
Machine learning can transform a company, but it can lead to unnecessary costs, damage and decision-making errors without enterprise-wide participation.
Artificial Intelligence is all around us — and is only poised to keep growing. Widespread AI literacy is essential to fairly adopting this new technology.
Computer vision has a range of positive applications, including identifying diseases, improving customer service, and moderating social media content.
Deep learning can improve productivity, increase retention and boost business, but good governance is needed to address bias and ensure positive results.
今の時代、私たちは呼びかけやテキストの入力により、バーチャルアシスタントと対話することが少なくありません。Amazonのアレクサ（Alexa）対応機器を自宅に置き、音楽の再生やジョークを言わせている人々を想像してみてください。Amazonは2018年だけで1億台以上のアレクサ対応機器を販売し、その年、アレクサは1億回以上のジョークを言ったことになります。
Chatbots and virtual assistants that use AI have become omnipresent. Frameworks on how to regulate them need to be created. Here's what the future of chatbots might look like.
With the right approach, AI can become a sustainable technology and a key tool in mitigating the worst impacts of climate change.
One of the more effective ways to address bias in AI and build better products is to engage diverse teams throughout the process - that means more women.
Debate about AI development continues apace, but misinformation about its status, complexity and riskiness are preventing proper discussion of the topic.
