Home » Posts tagged 'Artificial Intelligence'
Tag Archives: Artificial Intelligence
– AI in Politics 2026
AI in Politics – Jan26 – Download .pdf here
Artificial Intelligence in Politics
AI has the potential to change politics and policy making. In fact, it is already doing this. Look at the way social media is using AI to influence election outcomes. However, we need to recruit AI to improve political processes, not seize control of them.
If we do not take stock of this now, there is a real danger that the important decisions influencing UK society will be increasingly made by people and organisations outside the UK political arena. Decision-making processes will become more hidden from public view and the opportunity for debate, scrutiny and accountability will be lost.
In contrast there are many ways in which AI can be used to enhance democratic processes. In the short term, it can enable better civil engagement, aid policy insights and forecasting, increase administrative efficiency and make political processes more transparent. In the longer term it can lead to constitutional innovation, facilitate deliberative democracy, make explicit the trade-offs between the interests of different groups, critique proposed legislation from multiple perspectives, co-ordinate central and local plans, and generally augment government decision-making at all levels.
However, changes to the processes of political and policy decision-making are hugely difficult. Our current systems are deeply embedded and entangled. Habit, complexity and vested interests are intimately related barriers to any change and especially so in relation to political decision-making itself. And often rightly so, because processes that have stood the test of time are important to keep and not disrupt. But AI has come out of left field as a major disruptor to almost everything and its implication for political decision making must be assessed and absorbed. To achieve this, we need to not just focus on how AI can be used to enhance the economy but also how AI can be used to enhance the political decision-making processes themselves.
We are in danger of rolling out AI such that it merely automates our current ways of going about things, embedding some poor practices even further. However, abrupt and radical change is also unacceptable because it is disruptive and de-stabilizing. What is needed is a firm and agreed vision based on sound principles, and a plan of managed transition that works towards new ways of making political decisions incorporating AI, that are based on best practice (e.g. evidence driven, comprehensively consulted, robustly modelled and tested etc.).
This brief paper is a call for us to take stock of what has already been done, both in the research and practice, in using AI for political and policy formulation, decision-making, implementation, monitoring and iterative revision. This sets out the landscape so that we can better plan the journey ahead and help head-off a situation where players outside parliament (large corporations, foreign governments, the media etc.) use their increasingly powerful command of AI to determine the political agenda.
– It’s All Too Creepy
As concern about privacy and use of personal data grows, solutions are starting to emerge.
This week I attended an excellent symposium on ‘The Digital Person’ at Wolfson College Cambridge, organised by HATLAB.
The HATLAB consortium have developed a platform where users can store their personal data securely. They can then license others to use selected parts of it (e.g. for website registration, identity verification or social media) on terms that they, the user, is in control of.

Highlights
Every talk at this symposium was interesting and informative. Some highlights include:
- Misinformation and Business Models: Professor Jon Crowcroft
- Taking back control of Personal Data: Professor Max van Kleek
- Ethics-Theatre in Machine Learning: Professor John Naughton
- Stop being creepy: Getting Personalisation and Recommendation right: Irene Ng
There was also some excellent discussion amongst the delegates who were well informed about the issues.
See the Slides
Fortunately I don’t have to go into great detail about these talks because thanks to the good organisation of the event the speakers slide sets are all available at:
https://www.hat-lab.org/wolfsonhat-symposium-2019
I would highly recommend taking a look at them and supporting the HATLAB project in any way you can.

There is something in this argument. How can an artificial Autonomous Intelligent System (AIS) understand harm without itself experiencing suffering? However, I would take issue with this first premise (although I agree with pretty much everything else). First, assuming that AIs cannot be conscious, it does not follow that they cannot be moral. Plenty of artefacts have morals designed in - an auto-pilot is designed not to kill its passengers (leaving aside the Boeing 737 Max), a cash machine is designed to give you exactly the money you request and buildings are designed not to fall down on their occupants. OK, so this is not the real-time decision of the artefact. Rather it's that of the human designers. But I argue (see the right-hand panel of some blog page on 


On the positive side, it's just possible that if we put our minds to it, we can fix things. What is required is bottom up, diverse collaboration. What does that mean? It means devolving decision-making and budgeting to the lowest levels.
While the value of this may not show on the balance sheet or even a nation's GDP, the value delivered to those people whose lives are saved is incalculable. This illustrates a fundamental flaw in modern capitalism - it concentrates wealth but does not necessarily result in the generation of
I enjoyed this talk, not least because it contained a lot of the stuff I've been banging on about for years (see: 


