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24-2-19 AI Played Wargames - Result Not Reassuring - Sabine > .
24-1-6 R-U War: First Сyberwar in History 1 - UA > .
23-9-24 Combat Drones & Future Air Warfare - Humans + Wingman - Perun > .
23-9-30 Internet Backbone = Hidden Infrastructure - B1M > .
23-8-29 Major FBI Operation Targeted Qakbot Botnet - Director Wray > .
23-8-18 AI Origins to Catastrophism vs Optimism - gtbt > .
23-5-6 Artificial Intelligence: What's next? - Sabine Hossenfelder > .
23-3-3 Generative AI, ChatGPT, CG Art: Future of Work - Patrick Boyle > . skip > .
22-9-29 Is Your Laptop's Microphone Spying On You? - Seytonic > .
22-9-29 Pegasus: The Most Dangerous Virus In The World - Tech > .
22-8-6 Pegasus Spyware Leaks - Seytonic > .
22-6-21 Understanding R-U War (16) - Technology c Lucia Velasco > .
22-4-25 Ronan Farrow: How Democracies Spy on their Citizens | A&Co > .
22-4-19 How Cyberwarfare Actually Works (Stuxnet +) - Wendover > .
22-3-25 Cyberwarfare during/outset of Russian Invasion of Ukraine - nwyt > .
22-2-24 Pegasus: Israel's Spy system has Scandalized the World - VisPol > .
⧫ Cryptography ..
⧫ Cyberwar, Digital Warfare ..
⧫ Electronic Warfare, Microwave Assault ..
⧫ Future Warfare ..
⧫ Government, Logistics - Hybrid Warfare ..
⧫ Hardware ..
⧫ Hybrid Warfare ..
⧫ Hypothetical Warfare, Wargaming ..
⧫ Intelligence ..
⧫ Internet ..
⧫ IP Theft (industrial, intellectual property theft) ..
⧫ MILDEC - Military Deception ..
⧫ Military ..
⧫ Propaganda, Communications ..
⧫ Cyberwar, Digital Warfare ..
⧫ Electronic Warfare, Microwave Assault ..
⧫ Future Warfare ..
⧫ Government, Logistics - Hybrid Warfare ..
⧫ Hardware ..
⧫ Hybrid Warfare ..
⧫ Hypothetical Warfare, Wargaming ..
⧫ Intelligence ..
⧫ Internet ..
⧫ IP Theft (industrial, intellectual property theft) ..
⧫ MILDEC - Military Deception ..
⧫ Military ..
⧫ Propaganda, Communications ..
⧫ R&D ..
⧫ Surveillance, Spyware ..
⧫ Wargaming, Hypothetical Warfare ..
UK spies will need artificial intelligence - Rusi report: UK spies will need to use artificial intelligence (AI) to counter a range of threats, according to a report based on unprecedented access to British intelligence. Adversaries are likely to use the technology for attacks in cyberspace and on the political system, and AI will be needed to detect and stop them.
AI is unlikely to predict who might be about to be involved in serious crimes, such as terrorism - and will not replace human judgement. Acts such as terrorism are too infrequent to provide sufficiently large historical datasets to look for patterns - they happen far less often than other criminal acts, such as burglary.
Even within that data set, the background and ideologies of the perpetrators vary so much that it is hard to build a model of a terrorist profile. There are too many variables to make prediction straightforward, with new events potentially being radically different from previous ones.
The Royal United Services Institute (Rusi) think tank also argues that the use of AI could give rise to new privacy and human-rights considerations, which will require new guidance. Any kind of profiling could also be discriminatory and lead to new human-rights concerns.
Privacy advocates fear that artificial intelligence will require collecting and analysing far larger amounts of data from ordinary people, in order to understand and search for patterns, that create a new level of intrusion. The authors of the report believe new rules will be needed.
⧫ Surveillance, Spyware ..
⧫ Wargaming, Hypothetical Warfare ..
The future threats could include using AI to develop deep fakes - where a computer can learn to generate convincing faked video of a real person - in order to manipulate public opinion and elections. It might also be used to mutate malware for cyber-attacks, making it harder for normal systems to detect - or even to repurpose and control drones to carry out attacks. In such cases, AI will be needed to counter AI.
AI is unlikely to predict who might be about to be involved in serious crimes, such as terrorism - and will not replace human judgement. Acts such as terrorism are too infrequent to provide sufficiently large historical datasets to look for patterns - they happen far less often than other criminal acts, such as burglary.
Even within that data set, the background and ideologies of the perpetrators vary so much that it is hard to build a model of a terrorist profile. There are too many variables to make prediction straightforward, with new events potentially being radically different from previous ones.
In practice, in fields like counter-terrorism, the report argues that "augmented" - rather than artificial - intelligence will be the norm - where technology helps human analysts sift through and prioritise increasingly large amounts of data, allowing humans to make their own judgements.
One of the thorny legal and ethical questions for spy agencies, especially since the Edward Snowden revelations, is how justifiable it is to collect large amounts of data from ordinary people in order to sift it and analyse it to look for those who might be involved in terrorism or other criminal activity. A related question concerns how far privacy is violated when data is collected and analysed by a machine versus when a human sees it.
Privacy advocates fear that artificial intelligence will require collecting and analysing far larger amounts of data from ordinary people, in order to understand and search for patterns, that create a new level of intrusion. The authors of the report believe new rules will be needed.
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