Bias in AI systems can range from 3.4% to 38.6% depending on the database, affecting the quality of outcomes and cybersecurity vulnerabilities.
Self-teaching algorithms prioritize quantity over the quality of data, leading to widespread consequences such as hackers exploiting vulnerabilities and injecting malicious data.
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