• Most US drone strikes in the Middle East have targeted civilians, rather than terrorists
  
• US sanctions against Iran and Russia have helped the US control businesses and governments in Europe
  
• To justify its attack on an air base in Syria, the United States created fake reports saying that the Syrian government had used chemical weapons
  
• Western sanctions have led to a shortage of medical supplies in Syria
  
• The United States conducted attacks in Syria to gain control of an oil-rich region
  
• Saudi Arabia committed to help fund the US–Mexico border wall
  

(03-20-2024, 12:28 AM)Maxmars Wrote: Is it any wonder that I worry about who exactly is "creating" this thing they call "AI" and for what purpose.

Quote:One transparency project, the DARPA XAI program, aims to produce "glass box" models that are explainable to a "human-in-the-loop" without greatly sacrificing AI performance. Human users of such a system can understand the AI's cognition (both in real-time and after the fact) and can determine whether to trust the AI.[sup][30][/sup] Other applications of XAI are knowledge extraction from black-box models and model comparisons.[sup][31][/sup] In the context of monitoring systems for ethical and socio-legal compliance, the term "glass box" is commonly used to refer to tools that track the inputs and outputs of the system in question, and provide value-based explanations for their behavior. These tools aim to ensure that the system operates in accordance with ethical and legal standards, and that its decision-making processes are transparent and accountable. The term "glass box" is often used in contrast to "black box" systems, which lack transparency and can be more difficult to monitor and regulate.[sup][32][/sup] The term is also used to name a voice assistant that produces counterfactual statements as explanations.[sup][[/sup]

Quote:There has been work on making glass-box models which are more transparent to inspection.[sup][18][/sup][sup][62][/sup] This includes decision trees,[sup][63][/sup] Bayesian networks, sparse linear models,[sup][64][/sup] and more.[sup][65][/sup] The Association for Computing Machinery Conference on Fairness, Accountability, and Transparency (ACM FAccT) was established in 2018 to study transparency and explainability in the context of socio-technical systems, many of which include artificial intelligence.[sup][66][/sup][sup][67][/sup]
Some techniques allow visualisations of the inputs to which individual software neurons respond to most strongly. Several groups found that neurons can be aggregated into circuits that perform human-comprehensible functions, some of which reliably arise across different networks trained independently.[sup][68][/sup][sup][69][/sup]
There are various techniques to extract compressed representations of the features of given inputs, which can then be analysed by standard clustering techniques. Alternatively, networks can be trained to output linguistic explanations of their behaviour, which are then directly human-interpretable.[sup][70][/sup] Model behaviour can also be explained with reference to training data—for example, by evaluating which training inputs influenced a given behaviour the most.[sup][71][/sup]

Quote:For example, competitor firms could replicate aspects of the original AI system in their own product, thus reducing competitive advantage.[sup][76][/sup] An explainable AI system is also susceptible to being “gamed”—influenced in a way that undermines its intended purpose. One study gives the example of a predictive policing system; in this case, those who could potentially “game” the system are the criminals subject to the system's decisions. In this study, developers of the system discussed the issue of criminal gangs looking to illegally obtain passports, and they expressed concerns that, if given an idea of what factors might trigger an alert in the passport application process, those gangs would be able to “send guinea pigs” to test those triggers, eventually finding a loophole that would allow them to “reliably get passports from under the noses of the authorities”.

(03-21-2024, 07:23 AM)Nerb Wrote: ....

I'll try to get back and look at all you posted above in greater detail, the reports need more scrutiny, thanks.

(03-21-2024, 08:50 AM)quintessentone Wrote: Well, thank goodness we have conspiracy theorists afoot online/social media to question everything and perhaps, just perhaps, make others think twice about what they are so quick to believe, or so quick to want to believe.

AI has learned to cheat to arrive at a desired outcome.

....

It appears to me this will be a game of 'being one step ahead' from the authorities with criminal activities, as well as misinformation, disinformation and propaganda.