Book Image

Live Longer with AI

By : Tina Woods
Book Image

Live Longer with AI

By: Tina Woods

Overview of this book

Live Longer with AI examines how the latest cutting-edge developments are helping us to live longer, healthier and better too. It compels us to stop thinking that health is about treating disease and start regarding it as our greatest personal and societal asset to protect. The book discusses the impact that AI has on understanding the cellular basis of aging and how our genes are influenced by our environment – with the pandemic highlighting the interconnectedness of human and planetary health. Author Tina Woods, founder and CEO of Collider Health and Collider Science, and the co-founder of Longevity International, has curated a panel of deeply insightful interviews with some of today’s brightest and most innovative thought leaders at the crossroads of health, technology and society. Read what leading experts in health and technology are saying about the book: "This is a handbook for the revolution!" —Sir Muir Gray, Director, Optimal Ageing "You can live longer and be happier if you make some changes – that is the theme of this book. Well-written and compelling." —Ben Page, CEO, Ipsos Mori "Tina's book is a must-read for those who want to discover the future of health." —José Luis Cordeiro, Fellow, World Academy of Art & Science; Director, The Millennium Project; Vice Chair, Humanity Plus; Co- Author of The Death of Death About the consultant editor Melissa Ream is a leading health and care strategist in the UK, leveraging user-driven design and artificial intelligence to design systems and support people to live healthier, longer lives.
Table of Contents (8 chapters)
Preface
7
Index

The ethics of data

"If we took every kind of search in the UK, we might be able to look at a lot of different factors for determinants of population health. However, this is delving into a different scope for secondary uses of data—something we need to have an open dialogue about as we might discover we have different views on sharing for wider benefit (for example to reduce health inequalities)….there is a lot of potential, but it needs to be done in an ethical way."

– Indra Joshi, NHSX

Ethical issues in AI are a big concern. Nowhere has this been highlighted with such force than the dilemmas posed by the COVID-19 pandemic. While the pandemic has thrown up the lack of data sharing infrastructure that could have predicted and avoided the pandemic in the first place, it has also raised the geopolitical tensions between citizen empowerment and state surveillance and the race for technological dominance between the USA and China...