ETHICAL ISSUES IN USING AI - ETHICS

News: Create global framework for ethical use of AI: PM

 

What's in the news?

       Prime Minister Narendra Modi called for a global framework to ensure the ethical use of artificial intelligence (AI) as he flagged concerns over algorithmic bias and its disruptive impact on society.

 

Ethics of Artificial Intelligence:

       The notion of “artificial intelligence” (AI) is understood broadly as any kind of artificial computational system that shows intelligent behaviour, complex behaviour that is conducive to reaching goals.

       Striving to achieve goals requires AI systems to make decisions which impact human lives.

       E.g., Autonomous cars. Taking such decisions requires rational as well as emotional understanding of how humans think and what are the values they base their decision on.

       AI ethics is a system of moral principles and techniques intended to help this system take informed decisions ethically acceptable along with being logically optimal.

 

Ethical issues associated with AI:

1. Privacy and Surveillance:

       The advancement of AI amplifies the common issues of Data theft, Data surveillance, privacy, profiling.

       For example, Facial recognition in photos and videos using AI-based image processing will aid profiling and searching for individuals.

2. Biased outcomes:

       The data used to feed AI systems isn’t representative of the diversity of our societies, producing outcomes that can be said to be discriminatory.

       For example, AI systems that rely on Machine learning techniques will extract patterns from a given dataset. These patterns mimic human biases such as gender bias, racial bias.

3. Automation and unemployment:

       AI promises to automate a large section of the job market.

       Some experts suggest that the large scale advent of AI will generate newer kinds of jobs, but how much it will be able to compensate remains to be seen.

4. Singularity:

       The idea of singularity is that if the trajectory of artificial intelligence reaches up to systems that have a human level of intelligence, then these systems would themselves have the ability to develop AI systems that surpass the human level of intelligence i.e. they are “superintelligent”

 

Principles for Ethical Use of AI:

To overcome evolving challenges of AI, 193 countries at UNESCO have collectively finalized the following design principles for ethical use of AI.

       The choice to use AI systems and which AI method to use should be proportional to achieve a given legitimate aim, should not infringe upon human rights and should be based on rigorous scientific foundations.

       The continuous assessment of the human, social, cultural, economic and environmental impact of AI technologies should be carried out.

       Ensure that it is always possible to attribute ethical and legal responsibility for any stage of the life cycle of AI systems, as well as in cases of remedy related to AI systems, to physical persons or to existing legal entities.

       Participation of different stakeholders throughout the AI system life cycle is necessary for inclusive approaches to AI governance, enabling the benefits to be shared by all, and to contribute to its sustainable development.

       Ban on social scoring and mass surveillance.