My post about automating incident response prompted a fascinating chat with a long-standing friend-colleague who knows far more about Incident Response technology than I ever did. With many thanks to Aaron Kaplan (AK), here’s a summary of our discussion… Developments in automated defence AK: Using Machine Learning (“AI”) in cyber-defence will be a gradual journey. […]
Tag: Artificial Intelligence
Posts relating to “Artificial Intelligence”: not defined in any more precise way than the duck test…
In response to my posts about the relevance of the draft EU AI Act to automated network management one concern was raised: would falling within scope of this law slow down our response to attacks? From the text of the Act, I was pretty sure it wouldn’t, so I’m grateful to Lilian Edwards for the […]
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Thinking about automation
To help me think about automated systems in network and security management, I’ve put what seem to be the key points into a picture. In the middle is my automated network management or security robot: to the left are the systems the robot can observe and control, to the right its human partner and the […]
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Getting a Feel for AI Terrain
Decisions whether or not to use Artificial Intelligence (AI) should involve considering several factors, including the institution’s objectives, purpose and culture, readiness, and issues relating to the particular application. Jisc’s Pathway Towards Responsible, Ethical AI is designed to help you with that detailed investigation and decision-making. But I wondered whether there might be a check […]
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Change: A Feature, not a Bug
Reading the Machine Learning literature, you could get the impression that the aim is to develop a perfect model of the real world. That may be true when you are trying to distinguish between dogs and muffins, but for a lot of applications in education, I suspect that a model that achieved perfection would be […]
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Swaddling AI
I’ve been reading a fascinating paper on “System Safety and Artificial Intelligence”, applying ways of thinking about safety-critical software to Artificial Intelligence (AI). Following is very much my interpretation: I hope it’s accurate but do read the paper as there’s lots more to think about. AI is a world of probabilities, statistics and data. That […]
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Visualising the Draft EU AI Act
I’m hoping to use the EU’s draft AI Act as a way to think about how we can safely use Artificial Intelligence. The Commission’s draft sets a number of obligations on both providers and users of AI; formally these only apply when AI is used in “high-risk” contexts, but they seem like a useful “have […]
We’ve been talking to computers for a surprisingly long time. Can you even remember when a phone menu first misunderstand your accent? Obviously there have been visible (and audible) advances in technology since then: voice assistants are increasingly embedded parts of our lives. A talk by Joseph Turow to the Privacy and Identity Lab (a […]
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Automating Digital Infrastructures
Most of our digital infrastructures rely on automation to function smoothly. Cloud services adjust automatically to changes in demand; firewalls detect when networks are under attack and automatically try to pick out good traffic from bad. Automation adjusts faster and on a broader scale than humans. That has advantages: when Jisc’s CSIRT responded manually to […]
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What Happens in VR…?
A colleague spotted an article suggesting, among other things, that Virtual Reality could provide a safe space for students to practice their soft skills. This can, of course, be done by classroom roleplay but the possibility of making mistakes that fellow students will remember could well increase stress. This certainly chimes with feedback I received […]