Information Science Quotes
Quotes tagged as "information-science"
Showing 1-7 of 7
“...artificial intelligence will become a major human rights issue in the twenty-first century.”
― Algorithms of Oppression: How Search Engines Reinforce Racism
― Algorithms of Oppression: How Search Engines Reinforce Racism
“And better still, reference librarians served well in the role that the internet never did: They were the perfect bouncers at the door of bad information. Or, put differently, they were the best vectors to transmit truth.”
― Wanderers
― Wanderers
“The ocean flows of online information are all streaming together, and the access tools are becoming absolutely critical. If you don’t index it, it doesn’t exist. It’s out there but you can’t find it, so it might as well not be there.”
―
―
“Librarians are on the front lines of an invisible struggle over our information diet and, for better or worse, the scales are not tipping in their direction.”
― Ambient Findability: What We Find Changes Who We Become
― Ambient Findability: What We Find Changes Who We Become
“What Is Data Science and Information Science?
According to Dr.P.S.Jagadeesh Kumar (Dr.PSJ Kumar);
"The Science Of Learning And Applying Data By Exchanging Methods and Algorithms Between Human And Machine Is Known As Data Science (DS)"
"The Science Of Learning, Applying And Protecting Information By Exchanging Methods and Algorithms Between Human And Machine Is Known As Information Science (IS)”
―
According to Dr.P.S.Jagadeesh Kumar (Dr.PSJ Kumar);
"The Science Of Learning And Applying Data By Exchanging Methods and Algorithms Between Human And Machine Is Known As Data Science (DS)"
"The Science Of Learning, Applying And Protecting Information By Exchanging Methods and Algorithms Between Human And Machine Is Known As Information Science (IS)”
―
“If insolvency is not transparent or well understood, and if illiquidity is backstopped by the Federal Reserve, then why do bank runs commence? The answer is psychology. Some customers or counterparties come to believe a bank will not repay them so they pull their money out or close transactions as quickly as possible. They are not reassured by ... press releases or positive comments by management. Word spreads, the withdrawals accelerate, and within days, sometimes hours, the bank closes its doors. From there it's an open issue whether the lost confidence spreads to other banks, in a process called contagion. No amount of capital or comment can stop a bank panic; it has a life of its own.
...
Enter AI. The next bank run may be triggered not by human panic but by AI imitating human panic. An AI bank analysis program with deeply layered neural networks and machine learning capability (perhaps complimented by a GPT capacity to speak with human analysts) Could read millions of pages of financial data on thousands of individual banks, far more than any team of human analysts could review. It's training set of materials provides familiarity with the dynamics of bank runs, basically an emerging property of a complex dynamic system, along with historical examples, worst case scenarios, and defensive moves. Events like the gold corner of 1869, the panic of 1907, the Great Depression of the 1930s, and the S&L crisis of the 1980s would all seem as fresh as today's news. This system would reach the same conclusion as a human analyst — move first, get your money out fast, don't be the last in line.
The true danger is not that the machine thinks like a human — it's supposed to. The danger is that it can act faster and communicate with other machines.”
― MoneyGPT: AI and the Threat to the Global Economy
...
Enter AI. The next bank run may be triggered not by human panic but by AI imitating human panic. An AI bank analysis program with deeply layered neural networks and machine learning capability (perhaps complimented by a GPT capacity to speak with human analysts) Could read millions of pages of financial data on thousands of individual banks, far more than any team of human analysts could review. It's training set of materials provides familiarity with the dynamics of bank runs, basically an emerging property of a complex dynamic system, along with historical examples, worst case scenarios, and defensive moves. Events like the gold corner of 1869, the panic of 1907, the Great Depression of the 1930s, and the S&L crisis of the 1980s would all seem as fresh as today's news. This system would reach the same conclusion as a human analyst — move first, get your money out fast, don't be the last in line.
The true danger is not that the machine thinks like a human — it's supposed to. The danger is that it can act faster and communicate with other machines.”
― MoneyGPT: AI and the Threat to the Global Economy
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