It frequently takes a lot of data, both personal and non-personal, to design and deploy AI systems. As a result, there are hazards to fundamental rights like the right to equality, the prohibition of discrimination, and the right to privacy as well as the legal and ethical use of data. Risks related with the misuse of AI technologies can be reduced early on by educating AI practitioners in ethical principles.
In order to help developers, create AI solutions that consider ethical and privacy considerations, DSCI, in collaboration with the German Development Cooperation (GIZ), Digital India Foundation, and Koan Advisory Group, released a handbook on Data Protection and Privacy for Developers of Artificial Intelligence (AI) in India. The Handbook, which draws its inspiration from widely accepted ethical norms, intends to help people operating in the AI ecosystem who have a basic understanding of AI/ML procedures, such as startups. An online course has also been developed based on the principles and procedures mentioned in the aforementioned Handbook to encourage developers working with artificial intelligence to consider the social impact of the goods and services they produce in addition to the technical aspects of AI.
The importance of ethics in AI, the various stages at which developers can make ethical interventions, and the ethical principles that apply to AI, such as Transparency, Accountability, Fairness, Security, Mitigating Bias, and Privacy, to name a few, will all be covered in this.
For personal growth or redistribution under the CC BY-SA 4.0 license, interested participants may participate in the course on GIZ’s e-learning platform Atingi.
