Ethical, Societal, and Policy Implications of AI

Artificial Intelligence (AI) has rapidly evolved, offering transformative potential across various sectors, including healthcare, finance, education, and transportation. However, its deployment raises significant ethical, societal, and policy concerns that have necessitated careful consideration and action since its inception. This panel will discuss the multifaceted implications of AI, focusing on ethical dilemmas such as privacy, bias, transparency, and accountability, as well as the broader societal impacts on employment, social equity, and human interaction. Additionally, it examines the current state of AI policy and governance, highlighting the need for comprehensive frameworks that balance innovation with responsible AI or Machine Learning (ML) use. This panel will discuss these critical issues and aims to contribute to the current and future development of AI systems that are not only technologically advanced but also ethically sound and socially beneficial.

• The directions that where we are going in the design, development, and deployment of AI systems and how to control these parallel increases in hype, myths, misconceptions and inaccuracies.
• The AI acts that how it will govern the organization and individuals while using current and future AI systems to maximize societal benefits in the long run.
• The challenges that it will encounter are how ethical metrics integrate from design to deployment of current and future AI systems as well as having standard metrics for assessing and verifying them before societal use.

In parallel with panelists, audiences will also contribute to the discussion. They may raise their concerns, express opinions, and ask questions to the panellists. The results of this discussion would help AI systems designers, developers, practitioners, and policymakers for the benefit of society.