One difference this time around, compared with the 18-century Industrial Revolution, is that the infusion of language, automation and trust into AI is deliberate—not the byproducts of trial and error, abuse and remedy. In the AI Revolution, language, automation and trust serve as guideposts for AI providers and practitioners to follow as they design, build, procure and deploy the technologies.Critical to the Industrial Revolution was the construction of quasi-universal languages.
This language capability advances AI from the realm of numerical data to understanding and predicting human behaviors. With NLP, data scientists can build human language into AI models to begin improving everything from customer care and transportation to finance and education. found that nearly 80 percent of the more than 4,500 respondents said that ensuring their AI output was “fair, safe and reliable” was a critical factor in their use of the technology.When it comes to managing personal data, many corporations now align their commitments to transparency with rules that include the EU’s General Data Protection Regulation, which went into effect in 2018, and California’s Consumer Privacy Act, which took effect at the beginning of this year.
IBM បង៤ ។ឥៀម្នាក់ ៤
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