PRESENTATION & EXTENDED DISCUSSION

AI’s transformative potential in autonomous driving brings with it safety challenges, decision-making hurdles, and reasoning limitations that need addressing.

Join this session for an outline of how AI’s inherent limitations may lead to unforeseen incidents, posing risks to passengers and pedestrians, and the need for improving reliability and fault tolerance. This talk provides crucial insights into these aspects to spur the ongoing development of AI in autonomous vehicles.

• Explore the significant role of Artificial Intelligence (AI) in achieving fully autonomous driving, highlighting the related safety concerns and decision-making challenges.
• Delving into the complex decision-making roles AI must play in autonomous vehicles, particularly ethical dilemmas arising from situations with no clear optimal solutions.
• Discussing the limitations of AI in deductive and abductive reasoning, a key aspect of human decision-making. Despite AI’s aptitude for data processing and pattern recognition, its inability to reason like humans in complex situations can hinder its effectiveness in autonomous vehicles.
• Highlight key challenges and emphasize the need for more sophisticated AI systems capable of handling nuanced traffic situations.