Regulating Artificial Intelligence: Balancing Innovation And Ethical Concerns
- IJLLR Journal
- Mar 8
- 1 min read
Vignesh R Bhat, Sree Narayana Law College, Poothota, affiliated to MG University Kottayam
Anoop Antony, Sree Narayana Law College, Poothota, affiliated to MG University Kottayam
ABSTRACT
Artificial intelligence (AI) technology is rapidly advancing, promising sizeable opportunities but also elevating difficult ethical and felony worries. This article examines the contemporary prison troubles surrounding AI law, exploring the balance between selling innovation and addressing ethical risks.
A key undertaking lies in defining the legal repute and accountability of AI structures, inclusive of debates around prison personhood and assigning liability for damage because of self-reliant decision-making. Ensuring transparency and explainability in AI structures is critical for accountability.
Addressing potential biases, discrimination, and privacy violations perpetuated by using AI algorithms is another vital problem. Legal frameworks should shield non-discrimination, and privacy rights, and implement sturdy statistics governance practices.
The international nature of AI necessitates international cooperation and harmonization of regulations to prevent regulatory arbitrage and barriers to innovation. Efforts like the OECD AI Principles and the EU's proposed AI Act intend to establish international hints, but translating them into enforceable laws remains difficult.
In addition to prison rules, ethical suggestions, enterprise self-law, and public-personal partnerships play vital roles in shaping responsible AI improvement. Ethical frameworks, codes of conduct, and collaboration among stakeholders can foster a culture of responsible innovation while defending the public hobby.
Overall, regulating AI needs a nuanced approach that balances innovation with upholding ethical ideas, human rights, and societal values through criminal frameworks, ethical hints, self-law, and multi-stakeholder collaboration.
Keywords: Artificial intelligence, Regulation, Legal issues, Innovation, Ethical issues, Accountability, Self-regulation, Public-non-public partnerships
