Decoding AI: A Historical Perspective and Future Road Maps
Keywords:
AI ethics, Automation, Artificial Intelligence (AI), Artificial general intelligence (AGI), Deep learning, Future technology, Machine Learning (ML), Neural networksAbstract
The abstract appraises the essence of the source and gives a mention of the development of AI, the role of organizations like Open AI, and future expectations. It would be best if more concrete examples were brought in to stress such messages. For an example, the self-red teaming concept which is cited by source, where customers could assist in pointing out any weaknesses in their home-based AI implementation, could have appeared in the discussion of personalized home-based AI systems. Concerning the ethical issues mentioned, it might also have been talked about, such as how AI reinforces these biases, as previously noted due to the biased data used to train the algorithm, along with source. Such specific examples would be very useful in enacting maximum engagement with the abstract while also bringing out the nuances and consequences that AI presentation will have on society.
You might think of including something about emotional AI, which has been spelt out in sources. Currently, such systems were being developed to understand, interpret, and respond to human emotions in possible healthcare and customer service applications. There are still moral arguments ongoing on the issue with regard to the high controversy this technology has generated, as discussed in sources.
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