"How realistic is the threat of AI becoming dangerous in the near future?"

People's fear of AI varies across societies, with highest fears in India and Saudi Arabia, and lowest in Japan.

Individuals may fear AI due to potential for machines to take over human roles or challenge belief systems.

Autonomous AI acting against human interests is another source of fear.

Instead of hypothetical future risks, experts emphasize addressing existing AI harms.

Building trust in AI can help mitigate concerns, while lack of trust contributes to fear.

Material consequences of less sophisticated AI technologies already affect people's lives.

AI systems are already causing harm to people; focusing on these issues is crucial.

Misuse of AI, such as AI-enhanced cyberattacks, is a significant concern.

AI can worsen existing inequalities, resulting in unfair AI-driven decisions.

AI's transparency and explainability impact trust, leading to fear if unaddressed.

Fears regarding AI takeover and superintelligent AI machines are common.

Autonomous weapons and warfare, driven by AI, raise significant ethical and safety concerns.

AI models may reinforce existing biases and contribute to discriminatory practices.

AI development must align with ethical principles and values, addressing potential long-term negative impacts.

The role of AI governance and regulations in mitigating risks is critical.

Job displacement due to AI-driven automation, especially for low-skilled workers, adds to fear of AI.

Ensuring informed consent and transparency in data usage can help reduce fear surrounding AI.

AI researchers and experts share concerns about the future of AI and its impact on humanity.

Addressing the fear of AI requires understanding and addressing existing issues surrounding AI.

Potential long-term risks of AI should not overshadow the urgent need to address current AI harms.