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Answer :
Final answer:
Combining responsible AI with generative AI is crucial to ensure ethical content creation, balance creativity with accountability, to mitigate risks and biases, thus promoting trust and transparency in AI applications. So, all of the options are correct.
Explanation:
It is important to combine responsible AI with generative AI for several critical reasons.
Key among these is to ensure AI systems create new content while adhering to ethical guidelines, balance creativity with accountability in AI-driven applications, mitigate potential risks and biases in AI-generated content, and promote trust and transparency in AI development and deployment.
These aspects address corporate responsibility and the potential dangers of artificial intelligence, advocating for the inclusion of diverse expertise in the engineering core, such as social scientists and historians, to provide varying perspectives and ethical considerations.
The development of codes of ethics and ethics certification programs for AI designers is a step in ensuring AI operates within accepted moral standards. Embracing friction to slow down the automatic nature of information diffusion and interactions with AI can also help manage the influence and impact of AI systems in society.
Given the potential of generative AI to mimic human output closely, imposing ethical restraints is fundamental to maintaining the integrity of human work and preventing the erasure of human contributions.
Furthermore, given the rise of AI in tandem with high-tech advances, including military applications and consumer electronics like AR glasses, it is paramount to question and evaluate the societal implications and legitimacy of such technologies in daily life.
The goal is not just to harness the technical prowess of AI, but also to align it with human values, safety, and societal welfare. Legal transparency, while challenging, is a crucial aspect of this endeavor, ensuring oversight and compliance with evolving technologies.
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