Navigating Innovation, Accountability, and Ethical Frameworks in the Age of Artificial Intelligence
The need for AI governance is ever-rising with the development of technology and its higher implementation in this tech-driven world. Today, almost every industry uses artificial intelligence extensively. Its prevalence is also witnessed in different economies, societies, and communities. However, along with comes the growing concern over ethics while ensuring responsibility. Also, in spite of the higher efficiency of AI and the major benefits offered, it comes with significant challenges. In addition, the concerns over bias, accountability and data security are also ever-growing.
An Overview of AI Governance
Before delving deeper into AI governance, you should have a fair idea about it, the framework, and what is meant by responsible AI governance. In simple words, the regulations and policies or ethical procedures that oversee the development process of AI and its implementation is referred to as AI governance. The prime objective of creating such guidelines include:- Ensuring fair, transparent and accountable systems
- Reducing data security risks and bias
- Eliminating discrimination and
- Preventing misinformation.
- Finance
- Defense
- Healthcare
- Law enforcement