Big tech leaders call expanding AI their most important goal right now. But they also see big risks like data privacy leaks, unfair biases, and untested technology causing problems. They say AI must be built on strong ethical principles to be safe and trustworthy.

In Ecuador, the government made a big move by adopting the country's first AI ethics code for all public institutions. This new code follows UNESCO recommendations and shows how countries are working to use AI responsibly.

In the United States, lawmakers proposed a bill called 'One Big Beautiful Bill'. If passed, this law would block individual states from creating their own AI safety rules for 10 years. The only way states could regulate AI would be to give up federal funds for broadband internet.

Experts point out several ethical challenges with AI. One big issue is the black box problem, where AI makes decisions that even its creators can't fully explain. This lack of transparency makes it hard to trust AI systems. Another problem is bias, where AI might treat people unfairly based on race, gender, or background because of flawed training data.

Security risks are growing too. Bad actors could use AI to create fake videos (deepfakes) or spread false news automatically. There's also concern about AI taking away human control in important decisions.

On a hopeful note, a new survey found that AI creates jobs instead of destroying them. Among companies using AI, 55% reported adding new positions, with 63% of those creating up to 25 jobs. This shows AI can reshape work positively when organizations focus on empowering teams instead of replacing humans.

These developments highlight a global push for responsible AI. Countries like Ecuador are creating rules, while tech leaders emphasize that ethical guardrails are essential. The debate in the U.S. shows how governments are struggling to balance innovation with safety protections. Experts agree that solving transparency issues and bias problems remains critical for trustworthy AI.