GGC-Space • Artificial Intelligence
Eleanor ‘Nell’ Watson CITP FBCS FIAP FIKE FRSA FRSS FCMI FLS is a Machine Intelligence engineer who worked to pioneer Deep Machine Vision at her company QuantaCorp, which enables fast and accurate body measurement from just two photos.
In sharing her knowledge as AI Faculty at Singularity University and author of Machine Intelligence courseware for O’Reilly Media, she realised the importance of protecting human rights and putting ethics, safety, and the values of human spirit into A.I.
Nell serves as Chair & Vice-Chair respectively of the IEEE’s ECPAIS Transparency Experts Focus Group, and P7001 Transparency of Autonomous Systems committee on AI Ethics & Safety, engineering credit score-like mechanisms to safeguard algorithmic trust.
She also chairs EthicsNet.org, a community teaching pro-social behaviours to machines, CulturalPeace.org, crafting Geneva Conventions-style rules for cultural conflict, and Pacha.org, connecting a network of service providers to help enable the automated accounting of externalities such as pollution.
Nell serves as Senior Scientific Advisor to The Future Society at Harvard, and holds Fellowships from the British Computing Society, and Royal Statistical Society, among others.
Her public speaking has inspired audiences to work towards a brighter future at venues such as The World Bank, The United Nations General Assembly, and The Royal Society.
As we delegate more of our commercial decisions to machines, we are creating a new layer of smart economic agents, and a new ‘machine demographic’ to market to. Aristocrats once enjoyed butlers to care for their personal needs without needing to be asked, as well as managers to take care of their estates. Something similar is coming to every one of us, as machines find clever ways to make us happiest and healthiest we can be, given a certain budget. Enabled by blockchain technologies, economic agents will add a third layer to the web. Appealing to machines may soon make more sense from a marketing perspective than appealing to humans.
A smarter, kinder, and trustworthy way to build a better world. This talk explores the latest developments in Machine Intelligence, Machine Economics (Blockchain, DHTm etc), and the emerging discipline of Machine Ethics. The confluence of these three domains with the Internet of Things is creating revolutionary new ways of organising society, and building trust between individuals and institutions. This can enable a massive increase in global human wellbeing in the coming decade – if we get it right.
Our global society is experiencing an immense shift: Entire industries once considered ‘bricks and mortar’, such as taxi rides and hotel rooms, are being transformed into digital powerhouses. Physical objects are becoming dematerialised, democratised, and dynamically distributed to all, at ever decreasing costs, and incredible value. Understanding the vast, disruptive power of exponential factors, and how to make effective use of them to amplify ones’ activities, is the fundamental key skill for enjoying massive business, technical, and societal success this century.
Machine Intelligence is as big a disruption as electricity was in the 20th century. It can seem confusing and hard to implement. This talk gives an overview of various terms and concepts, a timeline running from the past to the near future, and a crash course on how to practically implement AI within your business to create new opportunities.
Machine Intelligence offers us powerful new ways to solve almost any problem we can imagine. It is revolutionizing every sector of our economy in a way similar to how electrification and motive power transformed life in the 20th century. Businesses will gain instant solutions to complex tasks, as we learn to apply the same techniques to streamline our lives at home. These technologies can transform our communities, making our world more safe and secure, and helping us to manage precious resources in new ways.
How can we ensure that so much power can be applied in a way that is fair and equitable, which respects individual rights and cultural differences, whilst also encouraging personal responsibility. How might intelligent machines encourage us to be better caretakers of our planet, and the beings with whom we share it?
Intelligent machines are beginning to understand the needs, drives, and even values of humanity, with huge opportunities for each of our lives and our global society. These technologies can transform our communities, making our world more safe and secure, and helping us to manage precious resources in new ways. how can we make the most of these capabilities, and ensure that the spirit and wisdom of the human isn’t lost in a sea of cold algorithms? How can we retain our humanity, whilst growing past our greatest weaknesses?
The emerging field of machine ethics offers a revolution in how ethical analyses and transactions can occur. By making ethical decisions computable, we can give a sense of morality to machine intelligence, such as autonomous vehicles and personal assistants. Learn how we can best program these fuzzy aspects of ‘humanity’ into machine intelligence, in a way which respects differences of opinion and creeds, and yet provides adequate protection for humans and machines.
Intelligent machines are beginning to understand the needs, drives, and even values of humanity, with huge opportunities for each of our lives and our global society. Robotic counsellors offer an opportunity for everyone to gain access to the critical resource that is talking therapies. This is quite an expensive treatment, and isn’t covered well by insurance. As we can now democratise access to talking therapies, we might enjoy a much more mentally healthy society as a result. How can we retain our humanity, whilst growing past our greatest weaknesses?
Machine Intelligence is an incredible new utility that our society can tap into at will, in a revolution that we haven’t seen since electrification. Explore how every sector of our economy is being affected by this change, and grasp how big data is driving this process. Understand how you can make the most of these once-in-a-lifetime opportunities, and how these forces are shaping the future of our humanity.
Access to intuitive machine predictions is now changing organisations, as they become flatter and more agile, and units within them become more autonomous, providing richer choice and freedom to employees. But how can we make the most of these capabilities, and ensure that the spirit and wisdom of the human isn’t lost in a sea of cold algorithms?