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Guan Seng Khoo, PhD., as an academic advisor, board member, and adjunct lecturer, I explore the complexities and challenges surrounding artificial intelligence, such as the opaqueness of AI models, particularly generative AI, concerning their architecture, data origins, and energy consumption.
We examine the ethical considerations of data input, the potential for biased or average outputs from large datasets, and the difficulty in validating AI learning models.
We also discuss the strategic implications for companies adopting AI, question whether goals are well-defined, and consider the balance between AI as an assistant and an autonomous agent.
Ultimately, we raise concerns about over-reliance on AI, the potential for misuse, and the need to implement greater awareness, education, and strategic thinking.
Guan Seng Khoo, PhD., as an academic advisor, board member, and adjunct lecturer, I explore the complexities and challenges surrounding artificial intelligence, such as the opaqueness of AI models, particularly generative AI, concerning their architecture, data origins, and energy consumption.
We examine the ethical considerations of data input, the potential for biased or average outputs from large datasets, and the difficulty in validating AI learning models.
We also discuss the strategic implications for companies adopting AI, question whether goals are well-defined, and consider the balance between AI as an assistant and an autonomous agent.
Ultimately, we raise concerns about over-reliance on AI, the potential for misuse, and the need to implement greater awareness, education, and strategic thinking.