Sparity listed 10 Essential things to consider in AI product development you should not neglect to safeguard your company brand and user trust.

1. 10 Things

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Ethical Considerations Do not encourage hate speech,
discrimination, offensive, or harmful content
mechanisms.
Legal Considerations: Beware of Copyrighted Content,
Trade Mark Visuals, and Intellectual Property Rights.

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Output Tone: What will your tone be like? Persuasive,
informative, entertaining, or influential?
Accuracy: As it's a text-based probability, we should
not misinform our users.

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Deepfakes: Let's not encourage users towards
deepfakes and defamatory visuals. Beware of
plagiarized works.
Sustainability: How Much Energy and Water Will Our
LLM Consume?

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Source Credibility: Where are you getting data from?
Is it a legal way? Have you checked the credibility of
your data source?
Human Involvement: Let's get a human involved to
understand the emotion or need of the user.

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Ensure efficiency, not laziness. Generate a note asking
them to cross-check or customize.
Debate over the creation of new jobs that leads to job
loss requires a balance.

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Miscellaneous: Regulations differ from country to
country.
Balancing users and pricing
How do you validate the output?
Understanding how and where users apply the
generated content

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