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Looking for a job? The benefits and (many) problems of creating your resume with AI

According to a working paper by associate professor John J. Horton, IDE digital fellow Emma Wiles, and co-author, applicants who used AI tools to improve their resume writing were 8% more likely to be hired and also received 8.4% higher salaries than those who didn't use automated help. "Using algorithmic assistance can help applicants express their skills more effectively and reduce bias or premature judgments based on writing errors," the authors noted.

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Press Fount Media

Is AI recreating Buffett's 'God Hand?' Hedge funds are increasingly using it.

Professor Andrew W. Lo said he believes that "perhaps within five years, AI will be able to replicate the investment style of renowned investor Warren Buffett." He noted that if AI can further develop capabilities similar to human intuition, the accuracy of medium and long-term inferences will be greatly improved. He also warned that the widespread use of AI could introduce new vulnerabilities. "If human intervention becomes difficult, the market could experience a rapid, flash crash-like decline, triggering a chain reaction of financial crises."

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Press Italia Informa

Simon Johnson: 'I fear a second major financial crisis, this time triggered by stablecoins.'

Professor Simon Johnson explained that the risk lies not only in technological innovation, but in the classic dynamics of financial panic: "These digital assets are creating a new layer of finance that currently lacks adequate security mechanisms. We already know what happens when a sector that manages demand deposits lacks solid collateral: trust is broken and mass exodus is triggered," he said.

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Press Newsweek

AI is not a 'silver bullet': Why most initiatives falter

Visiting senior lecturer Paul McDonagh-Smith said: "AI implementation isn't the same as AI adoption. If employees distrust AI or fear job disruption, executive acceptance can translate to workforce aversion. Senior leaders need to frame AI pilots as process redesigns. Establishing corporate AI governance early helps build confidence and trust."

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Press Fortune

MIT researchers studied 16 million election-related AI responses. They found chatbots are 'sensitive to steering,' raising questions about LLMs' neutrality

Assistant professor Chara Podimata co-authored a recent study of LLMs during the 2024 election season. "Moving forward this research (and the methodology we propose) should become a staple of every election happening in the US," she said. "We need to know what information these models are giving, how they are calibrating their responses to different users, and what the models actually 'believe.'" (Source: Tech Brew)

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