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Introduction
Introduction
Some people worry that AI is sentient, or that it may judge humanity and intentionally destroy us all. The truth is that even the best AI is more or less a word predicting 8 Ball.
General Problems with AI
General Problems with AI
All AI suffer from what scientists describe as "hallucinations" and "dementia", degrading over time from faulty data, and regurgitated "AI slop".
AI Hallucinations
AI Hallucinations
AI Dementia
AI Dementia
Over time, all AI models begin to deteriorate in ways that (if they were human) would be considered signs of dementia.
AI Slop
AI Slop
Dead Internet Theory
Dead Internet Theory
Exampes of AI Missuse
Exampes of AI Missuse
AI Missuses in Education
AI Missuses in Education
Reports of students (especially those who are not native speakers) being falsely accused of using AI to cheat, and of AI being used by teachers in unfair or faulty grading, however problems are now cropping up as teachers or schools increasingly use AI to create lesson plans or educational images.
19:57 minute video explains the misuse of AI for education that culminated in Duolingo firing most employees in favor of faulty and lifeless technology, at the expense of a fun and engaging community of avid language learners.
AI Misuse in the Health Care Industry
AI Misuse in the Health Care Industry
AI to Discrimination in the Insurance Industry
AI to Discrimination in the Insurance Industry
"AI systems can unintentionally result in unfair discrimination in insurance underwriting by using data sources that have a historical bias or act as proxies for protected characteristics, leading to discriminatory outcomes. It can be difficult to assign responsibility for decisions by AI systems—insurers may be ultimately responsible for their products, but they are not always the parties that are most knowledgeable about the technical details of the underwriting system or most able to shape system design.
Creating a measurable definition of proxy discrimination by AI-enabled underwriting is challenging because insurers can use an underwriting factor if it is related to actual or reasonably anticipated experience and existing standards do not define the threshold for effectiveness of the factor. Therefore, each insurer’s justification for the usage of a factor will be unique. Given the risks posed by AI-enabled underwriting tools and the limitations of current regulatory structures, the insurance industry could face additional regulation and reputational damage if it does not ensure these tools are used responsibly and appropriately." - The American College AI-Enabled Underwriting Brings New Challenges for Life Insurance
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