Intelligence potential moral and ethical implications

Reference no: EM133626853

Question

1. Listening to the two lectures regarding ethics and its dimension in research was long but exciting. We have already discussed these machine learning tools and how well they are in advancing and helping our research data.

Question

1. How should ethical frameworks adapt to address advanced artificial intelligence's potential moral and ethical implications?

2. How do they adapt themselves to the machine learning systems and follow ethics?

3. How can they generate creative works or make decisions that impact individuals and societies?

2. Research integrity is something that is very important. Something that was discussed was that there was falsification with autism outcomes and the researcher specifically had anti-vax people in his study. Why would someone want to purposely skew results in research or falsify data? What's the point of producing false data if it can be proved wrong, and destroy the researcher's professional reputation?

3. The design of studies makes a large impact on research results. It wouldn't make sense or be beneficial to the researchers to have participants who aren't experiencing/experienced the research topic. I believe there are still barriers, to an extent, when selecting participants and the study design. No study research is perfect, but "factual." Do you think that minimal barriers, for example experiencing something now or 10 years ago, creates false results that should be questioned?

Reference no: EM133626853

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