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2. 5 tech CFOs predict how AI will shape finance - AOL

   www.aol.com/finance/5-tech-cfos-predict-ai...

   In 2025, AI will drive efficiency improvements that empower finance professionals with the crucial insights they need much faster, speeding up execution and driving greater business impact within ...

3. Janet Yellen warns AI in finance poses ‘significant risks’

   www.aol.com/janet-yellen-warns-ai-finance...

   Treasury Secretary Janet Yellen is expected to warn bankers and tech executives on Thursday that while artificial intelligence could open the door to vast rewards for the financial system, the ...

4. Artificial intelligence in industry - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   Industrial artificial intelligence, or industrial AI, usually refers to the application of artificial intelligence to industry and business. Unlike general artificial intelligence which is a frontier research discipline to build computerized systems that perform tasks requiring human intelligence, industrial AI is more concerned with the application of such technologies to address industrial ...

5. Yellen to warn of 'significant risks' from use of AI in finance

   www.aol.com/news/yellen-warn-significant-risks...

   But the remarks to the conference on AI and financial stability show that Yellen recognizes the benefits of AI in the automation of customer support services, improved efficiency, fraud detection ...

6. Artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence

   Generative artificial intelligence (generative AI, GenAI, [167] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 168 ] [ 169 ] [ 170 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 171 ...

7. Automated decision-making - Wikipedia

   en.wikipedia.org/wiki/Automated_decision-making

   Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...