LearnToCode With Syab Ahmad

Agentic AI: Autonomy, Accountability, and Algorithmic Society This academic paper examines the rise of agentic artificial intelligence, which autonomously pursues goals and executes complex tasks, differentiating it from reactive generative AI. The authors explore the challenges this technology presents across creativity and intellectual property, legal and ethical considerations like accountability, and competitive effects in algorithmic markets. The paper questions current frameworks' ability to handle AI's autonomy, particularly regarding authorship, liability, and potential for tacit collusion. Finally, it considers the possibility of self-governing norms emerging within networks of AI, raising questions about alignment with societal values and the need for interdisciplinary collaboration to establish appropriate governance.

AGENTIC AI FOR SCIENTIFIC DISCOVERY: A SURVEY OF PROGRESS, CHALLENGES, AND FUTURE DIRECTIONS