Page 156 - AI Ver 3.0 class 10_Flipbook
P. 156
AI is introducing many great new applications and providing benefits across all areas of our lives. As AI moves
from research labs into the real world, more and more people are becoming aware of ethical concerns
AI is a powerful tool. It can be used in ways that can affect the society – positively or negatively. For example,
electricity or nuclear energy, a lot depends on us - how we utilise AI for humanity.
“The rise of powerful AI will be either the best or the worst thing to happen to humanity. We do not know which”
—Stephen Hawking
21 st Century #Media Literacy
Skills
Video Session
Watch the video of "AI FOR GOOD - Ethics in AI" at the given link:
https://www.youtube.com/watch?v=vgUWKXVvO9Q or scan the QR code and answer
the following questions:
a. What have you understood from the video?
b. What are your learnings?
Need of Ethical Frameworks for AI
Ethical frameworks are important to ensure AI development matches the goals for the development of human
beings. They help in addressing the problems to achieve the SDGs making AI more trustworthy, safer and its
development in a responsible way.
The need for the ethical framework is given below:
• Fairness and bias: AI should treat everyone equally. Ethical frameworks help reduce bias in AI, ensuring
it do not favour one group over another. This ensures all individuals are given equal opportunities and
treatment.
• Privacy and data protection: AI uses a lot of personal data, so guidelines are needed to protect people’s
privacy and ensure data is used responsibly. Clear rules help prevent misuse and ensure data security.
• Environmental impact: AI systems can use a lot of energy. Ethical frameworks encourage creating AI that uses
less energy and is better for the environment. This ensures that AI doesn’t harm the planet while advancing
technology.
• Accountability: People are impacted by the decisions made by AI. There need to be methods for comprehending
and contesting these choices. This guarantees that AI is responsible for its deeds.
• Transparency and explainability: AI decision-making should be understandable to the general public,
particularly in critical domains like healthcare and finance. In addition to building trust, this improves the
identification of mistakes.
• Effects on employment: Since AI has the potential to replace some professions, it's critical to support workers
by providing them with new skill training. This makes it easier for workers to adjust to changes in the workforce
and maintain their jobs.
154 Touchpad Artificial Intelligence (Ver. 3.0)-X

