Role Of Dharma And Ahimsa In Ethical AI Governance
                     Role Of Dharma And Ahimsa In 
Ethical AI Governance
Chaitanya Kumari
Writes informational articles on common 
ethics, dharma meaning, what is dharma
, duties common to all along with others on 
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The ethical governance of AI has become increasingly important in light of 
the breathtaking speed of advancement in AI technologies. At the heart of 
this discussion concerning ethical ideas lie Dharma and Ahimsa, two 
concepts steeped in ancient Indian philosophy. Dharma incorporates the 
principle of moral duty and natural law, whereas Ahimsa emphasizes non-
violence and empathy toward all living beings.
These concepts will provide substantial help in the development of AI and 
its governing laws, also addressing ethical questions to ensure that 
technology will gain the maximum good. This paper seeks to explore the 
role of these two philosophies in AI governance, focusing on their 
application and the pursuit of these ideals in the rapidly evolving field of AI.
•Dharma and Ahimsa: Guiding Principles for AI
In artificial intelligence (AI), dharma and ahimsa are foundational principles that 
shape the ethical development and use of technology. Dharma refers to 
righteousness or duty, and in this context, it implies that AI should be designed 
with moral values and a sense of social responsibility. The emphasis is on 
fairness, transparency, and accountability in algorithms so that AI can be used 
for the common good.
•In line with dharma, developers may create technology that delivers positive 
outcomes for society, thereby fostering trust between AI systems and their 
users. Ahimsa means non-injury or non-violence; with this extension, the ethical 
dimension now requires that AI be used with an emphasis on minimizing harm. 
If ahimsa is applied to AI, then the generation of new technologies can serve the 
well-being of society rather than exacerbate existing inequalities or create new 
forms of harm.
Implementing Dharma and Ahimsa in AI Policy and Decision-Making
The inclusion of Dharma and Ahimsa into AI decision-making could create more 
trust among stakeholders. Users expect to have more confidence in AI systems 
when their designs are fundamentally grounded in these ethical principles. One of 
the most crucial issues in creating trust for the acceptance of AI technology is 
trustworthiness. In addition, when organizations engage a diverse range of 
communities in developing policies, it enables them to assess risks, mitigate harms, 
and develop solutions that are widely perceived as ethically responsible.
Training AI under the tenets of Dharma and Ahimsa will require, among other 
things, the clear articulation of ethical principles and the ongoing education of AI 
practitioners on their importance. Developers and policymakers need to be trained 
on the value-based assessment of AI technologies as an ongoing activity about, 
among other things, biases present in data sources, inclusive representation, and 
accountability in decision-making.
Role of Dharma and Ahimsa in Shaping the Future of AI Governance
The principles of Dharma and Ahimsa can serve the purpose of future AI 
governance mechanisms by stipulating ethical standards and responsible best 
practices. Dharma, signifying duty and moral responsibility, advocates for the 
development of AI systems that align with societal values and contribute to the 
betterment of the human condition by developers and stakeholders. Ahimsa, or 
non-violence, serves as a guiding principle to ensure that AI technologies do not 
cause harm to individuals or communities.
The amalgamation of these two principles in AI policies would usher in a culture of 
empathy and accountability towards much more just and sustainable technological 
advancement. The improvement of AI is moving at great speed from one day to 
another. Hence, the role of Dharma and Ahimsa will be essential to establishing a 
framework for responsible innovation in the AI domain.
The realization of ethicality could constrain the risks arising from AI usage, 
especially biases and improper data handling . These values would further promote 
interaction among technologists, ethicists, and policymakers to create guidelines 
that prioritize human dignity and the common good. Such cooperation would 
ensure that AI benefits all, creating a more just and inclusive society.
Innovation and Ethical Responsibility in AI Development
It is hard to overstate the need for ethical considerations to be factored into the 
evolution of AI technologies. This balancing act will lay the keys to maximally 
unleashing the potential of AI for societal good without the unneeded risks and 
pitfalls. Balancing innovation and ethical accountability even when developing AIs 
becomes critical for creating technology for society’s benefit while minimizing harm. 
Innovation becomes increasingly prone to ethical accountability as AI systems are 
engineered to become more sophisticated.
This entails making such technologies fair, transparent, and accountable, 
considering the end users of the system. This means integrating ethical 
considerations into the design process by studying the expected impact of AI 
technology on various stakeholders. By pursuing innovation in the most responsible 
ways, developers can foster public ownership and trust, ensuring that the benefits 
of AI will serve the public good in the long run, leading to a more just technological 
future.
Challenges in Promoting Ethical AI Tech
The road ahead toward ethical AI governance is beset with challenges as complex as 
the algorithms breathing life into these high-tech innovations. Among the most 
difficult is to find a chord of harmony between technological advancement and the 
necessity of ethical consideration. Some of these most formidable challenges 
include the issues of bias in AI decision-making, the consideration of data privacy, 
and the likely ramifications on work.
If these are not dealt with, they could lead to discrimination against a person or 
group based on race, gender, or economic status. This, thus, creates a crisis of trust 
for AI and stands the chance of worsening existing inequalities. The challenge is not 
only to create AI that works, but to create AI that functions in an ethical and 
humanitarian manner.
Conclusion
By combining the age-old principles of Dharma and Ahimsa into the governance of 
AI, one can get a roadmap for a better ethically sound, and more socially 
responsible technological future. Thus, if these principles are absorbed into 
decision-making steps and applied to them, we would be aiming at a world where 
AI propels innovations and at the same time upholds cardinal human values of 
morality, compassion, and non-violence.
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