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Responsible AI

Responsible AI

What is Responsible AI?

Responsible AI simply means to use Artificial Intelligence (AI) in a manner that is safe, fair and respectful, especially while using people’s personal data. It ensures that AI helps people and does not harm their rights, privacy and freedom.

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Why do we need Responsible AI?

Responsible AI is needed to make sure that AI is used fairly and safely and that it respects the rights of the people. AI systems often use personal data to make decisions. If not handled carefully, it can lead to serious privacy issues, unfair treatment, or even harm. This is where Responsible AI steps in! It helps build trust, protects people’s data, and ensures that technology works for the good of everyone, and not just a few.

What problems can happen if AI is not responsible?

AI, when it is not responsible, has the potential to cause job loss, unfair treatment, manipulation, privacy loss, or even surveillance. It can also wrongly judge people or expose their personal data, causing trust issues and legal trouble.

How does GDPR help make AI responsible?

GDPR sets certain rules to protect personal data. It says people should know how their data is used, give clear consent, and have rights to correct wrong info. AI must follow these rules when handling personal data to avoid misuse.

Who ensures AI is responsible?

Making AI responsible is not a one-person task. Companies, developers, governments, and even users must work together. Following laws like GDPR, applying ethical rules, and designing AI carefully – all help ensure responsibility.

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Barnali Sharma

Article by

Barnali Sharma

Content Writer

Barnali Sharma is a dedicated content contributor for viAct. A university gold medalist with an MBA in Marketing, she crafts compelling narratives, enhances brand engagement, and develops data-driven marketing campaigns. When she’s not busy working her content alchemy, Barnali can be found commanding stages with her public speaking or turning data into stories that actually make sense -because who said analytics can’t have a little creativity?

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