Why is it important to combine responsible Al with generative Al?
Fdaytalk Homework Help: Questions and Answers: Why is it important to combine responsible Al with generative Al?
a) Gen Al brings new areas of risk
b) Gen Al tracks regulations more closely
c) Gen Al needs to store more data
d) Gen Al requires a new infrastructure
e) I don’t know this yet
Answer:
First, let’s understand what generative AI (Gen AI) and responsible AI mean:
- Generative AI: AI systems that can create new content (text, images, etc.)
- Responsible AI: AI systems that designed to operate in a manner that is ethical, transparent, and accountable, minimizing biases, ensuring fairness, and protecting privacy.
Now, with this understanding, let analyze each given options to see how it relates to the combination of responsible AI with generative AI:
Given Options: Step by Step Answering
a) Generative AI brings new areas of risk
- Generative AI can produce content that might be biased, inappropriate, or misleading. Without responsible AI practices, these risks can be exacerbated.
- This is likely correct. Generative AI can create convincing fake content, raising concerns about misinformation and ethical use.
b) Generative AI tracks regulations more closely
- This doesn’t seem logical. Tracking regulations is not an inherent feature of generative AI. Responsible AI practices help ensure compliance with regulations.
c) Generative AI needs to store more data
- While generative AI might require large datasets for training, this is not directly related to the need for responsible AI.
d) Generative AI requires a new infrastructure
- Implementing generative AI might require new infrastructure, but this is more of a technical challenge rather than a reason to combine it with responsible AI.
e) I don’t know this yet
- We’ll consider this if none of the other options seem correct.
Conclusion
Based on the above analysis, the correct answer is:
a) Generative AI brings new areas of risk
Combining responsible AI with generative AI is important because generative AI introduces new ethical challenges and potential risks, such as:
- Creation of deepfakes
- Generation of misleading or biased information
- Potential copyright infringement
- Privacy concerns related to training data
Responsible AI practices help address these risks and ensure that generative AI is developed and used ethically and safely.
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