VIEWPOINTS

Automation & Productivity: 

AI can automate routine and repetitive tasks, freeing time for more valuable and creative work.

Job Displacement: 

Automation and AI agents can displace many workers and cause widespread job loss.

Efficiency: 

AI allows for faster, more accurate, and data-driven decisions. 

Bias & Ethics: 

Biased training data may reinforce stereotypes that may favor certain demographics.

Reduced Errors and Effectiveness:

AI can reduce human errors in industries such as healthcare, in which AI surgical robots can perform surgery better than humans.

Cybersecurity Risks and Deepfakes:

"AI systems rely on datasets that might be vulnerable to poisoning, tampering, bias, or cyberattacks" (Stryker and Kavlakoglu, IBM).

AI can be used for fraud, deepfakes, and other nefarious reasons, harming trust and privacy.

Availability:

AI is always on "maintaining consistent work quality and output levels" (Stryker and Kavlakoglu, IBM).

Weaponization:

AI can be programmed for destruction, like lethal autonomous weapons that are "difficult to turn off" (Conn, Future of Life).

Problem Solving:

AI's utility is related to it's ability to solve "complex, specialized problems in various industries, amplifying human productivity and insight" (Anyoha, Harvard).

Goal Misalignment:

Potential for AI to find unethical methods to achieve a task if not trained in human ethics. See more.

Transformative Innovation:

"New vaccines, progress in clean, low-carbon energy, better cancer treatments...future innovations could very much improve our living conditions and the environment around us" (Rosser, Oxford).

Ethical & Societal Risks:

Biotechnology and brain-computer interfaces risks unprecedented side effects and raise ethical questions, "especially when tampering directly with the brain" (Warwick, MIT).

Risk of unequal distribution of benefits from AI towards the privileged.