Ethics and AI: a crash course
Suspending or shaping the AI policy frontier: has Germany become part of the AI strategy fallacy?
Walk in to any entry-level Ethics class and you’ll observe academic philosophers teaching their students three theories of what it means to be ethical:
Utilitarianism: Does an action produce net good consequences?;
Deontology: Does an action follow a moral rule? e.g. the Golden Rule: ‘Treat others how you want to be treated’;
Virtue Ethics: Does an action contribute to virtue (whatever that means--blame Aristotle)?
Ethical practitioners, on the other hand, will be quick to tell you the world doesn’t work so neatly.
Beyond borders: talking at TEDxLondon
When it comes to national AI strategies, governments should harness first-mover advantages wherever possible. Despite continuing calls from the German economy and leading research institutes as well as Germany’s great potential succeed in AI, the German Federal Government has delayed its plans to publish a national AI strategy until November 2018.
Economic disruption and runaway AI: what can governments do?
The greatest lesson I learnt during the coaching sessions was that TED is about the audience, not the speaker. Even if the idea is yours, you are on that stage to share. To do that well you have to connect with your audience, breaking down the barrier between seat and stage in the process. You can’t bat out an idea like mine – “code poetry” – if no one catches it.
Want to get serious about artificial intelligence? You’ll need an AI strategy
Governments around the world are grappling with the same questions on AI: What is it? What can it do? What does it mean for our country? There are three pressing questions that governments need to answer in the short-term:
- how to manage the transition in the economy?
- how to ensure the use of AI reflects your values?
- how to use the power of AI to deliver better services for citizens?
Beyond driverless cars: our take on the UK's Autumn Budget 2017
Governments are waking up to the fact that artificial intelligence (AI) could transform their economies, public services, and workforces. If governments are to capitalise on the AI opportunity, they need to have well thought out structures and processes in place to do so. Seven countries have now published national AI strategies, and they are declaring themselves as the new global leaders in AI.
AI: the ultimate intern
The UK comes from a position of strength in the competition to be the best in the world in artificial intelligence because we have world class research universities, a broad spectrum of skills, and a flexible capital market. To remain competitive, the Government needs to invest, and invest more, in AI.
AI and legitimacy: government in the age of the machine
It doesn’t matter that AI isn’t as smart as the humans on your team. It is already capable of saving you time and energy by taking the easiest tasks off your hands, leaving you free to focus on more important things.
Five levels of AI in public service
The truth of the effects of AI on societies is likely somewhere between the “technoskeptic” and the “technoptimist” predictions. Regardless of where one falls on the scale, the adoption of artificial intelligence by government raises important questions about government legitimacy.
Why Government is ready for AI
AI is a very broad term which covers everything from machine learning to general intelligence. People can get caught up thinking about how to design the perfect system for dealing with problems we won’t face for years. I’ve been thinking about what a common framework might look like to make it clearer what we mean when we talk about AI.
The potential of Artificial Intelligence comes from its ability to deal with the complexity of real life. It offers is the beginnings of computer programmes that can make judgments - rather than simply following preset rules.