Navigating The Ethical Maze: Artificial Intelligence In Legal Decision Making

Vanshika, BBA LLB, Symbiosis Law School, Noida

Neha Singh, BA LLB, Symbiosis Law School, Noida

Drishti Patel, BBA LLB, Symbiosis Law School, Noida

ABSTRACT

The use of artificial intelligence (AI) to legal decision-making processes in the modern day raises a complex range of ethical questions. This study explores the challenges associated with using AI in legal fields and the need to successfully negotiate these moral minefields.

Artificial intelligence (AI) has quickly infiltrated many areas of the legal profession, offering increased productivity, impartiality, and better results. But as AI systems work with large datasets, issues with fairness, prejudice, and transparency surface. Either through algorithmic design or historical data, biases ingrained in these systems have the potential to exacerbate rather than mitigate societal injustices by perpetuating structural disparities.

Navigating this situation ethically requires a diverse strategy. First, in order to detect and reduce biases, it necessitates a close examination of AI algorithms and data inputs. AI decision-making systems must be transparent in order for stakeholders to understand how decisions are made and evaluate their fairness and validity. Furthermore, ongoing oversight and auditing of AI systems is necessary to guarantee adherence to moral principles and the advancement of best practices.

The role of policymakers is paramount in this ethical journey. Regulatory frameworks must be established to govern the development, deployment, and oversight of AI in legal decision-making, balancing innovation with ethical imperatives.

In conclusion, navigating the ethical maze of AI in legal decision-making demands a concerted effort to confront biases, prioritize human values, and establish robust regulatory frameworks. Only through collective engagement and proactive measures can AI truly serve as a force for justice within the legal domain.

Keywords: Artificial Intelligence, decision making, ethical, fairness, productivity, legal Profession, transparency, framework, balancing.