Page 276 - Touhpad Ai

u Be open and honest: Companies and developers should clearly tell users how their data will be used. This includes
who can access it and for what purpose.
u Follow privacy laws: There are laws that protect people’s data, such as the Digital Personal Data Protection Act in
India and the General Data Protection Regulation (GDPR) in Europe. AI developers must follow these laws strictly.
u Keep data safe and secure: Data should be stored in a safe place using strong passwords and encryption. Regular
security checks must be done to prevent hacking or data loss.
u Train workers on data handling: People who work with AI should be trained to handle data responsibly and report
any problems immediately.
Importance of Privacy Protection
Protecting privacy in AI is important because it:
u Builds trust between people and technology
u Prevents data misuse or identity theft
u Protects individuals from being unfairly treated
u Helps companies follow laws and avoid penalties

u Encourages people to share data safely for innovation

Mitigating Environmental Impacts

Artificial Intelligence is very powerful. It also uses a lot of electricity and computing power. Training large AI models
requires data centres that work all the time. These centres need a huge amount of energy to process data and keep
machines cool. This can lead to high carbon emissions, global warming, and electronic waste. Another important part
of AI ethics is to reduce the harm AI can cause to the environment.
Why Environmental Protection is Important?

AI should not only help people. It should also help protect the planet. If we use technology without caring for nature, it can
harm the Earth by increasing pollution, wasting energy, and creating more waste. Ethical AI focuses on sustainability.
This means using resources wisely so that future generations can also enjoy a healthy environment.
Ways to Reduce Environmental Impact of AI
Following are some different ways to reduce environmental impact of AI:

u Use energy-efficient machines: AI systems should use computers and servers that consume less power.
New hardware technologies can perform better while using less energy.
u Use renewable energy: Data centres that power AI systems can use solar panels, wind energy, or hydropower instead
of electricity from coal or oil. This helps reduce pollution.
u Design smaller and smarter models: AI algorithms can be improved to use fewer resources while still giving accurate
results. For example, smaller AI models can perform many tasks without wasting energy.
u Share computing resources: Instead of every company having its own large data centre, cloud services can be used.
This helps multiple systems share one source of computing power and saves electricity.
u Recycle and reuse old device: When computers or devices become old, they should not be thrown away. Parts like
chips or metals can be recycled and reused to reduce electronic waste.
u Use AI for environmental protection: AI can be used to solve environmental problems such as predicting floods,
monitoring air and water pollution, managing electricity use in smart cities, and helping farmers use water and
fertilizers efficiently.
u Encourage green policies: Governments, companies, and researchers should work together to create rules that make
AI systems more eco-friendly.

274 Touchpad Artificial Intelligence - XI