Why AI breaks in payroll and tax

The provided sources examine the evolving integration of artificial intelligence across professional sectors, emphasizing the critical balance between technological efficiency and human oversight. Organizations face significant hurdles, including algorithmic inaccuracies in payroll and tax, alongside a noticeable gap between high performance benchmarks and actual economic productivity. To manage these risks, experts and regulatory bodies like the FTC and Department of Labor advocate for transparency, ethical governance, and the protection of worker rights. Key strategies for success involve rigorous human validation, regular system audits, and upskilling employees to handle complex exceptions that probabilistic models often miss. Ultimately, the texts argue that while AI can automate routine clerical tasks, sustainable adoption requires maintaining a "human in the loop" to ensure accountability and trust.