Gary Ackerman @garyackerman@qoto.org

The ability of a computer or machine to perform tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

Moral principles that guide human behavior and decision-making, particularly in the context of technology development and deployment.

If the data used to train an AI algorithm reflects existing societal biases, the AI will learn and perpetuate those biases.

While eliminating all bias in AI is challenging, significant progress can be made through ongoing research, development, and implementation of bias mitigation techniques. The goal is to minimize bias and ensure that AI systems are fair, accountable, and beneficial to society.

Trust in AI can be fostered by:
Making AI systems understandable and their decision-making processes explainable.
Establishing clear responsibility for the outcomes of AI systems.
Ensuring that AI systems are designed and used in a way that is equitable and just.
Regularly assessing AI systems for bias and taking steps to mitigate any identified issues.

Transparency is also key. We need to be able to understand how AI algorithms are making decisions so that we can identify and correct any biases.

Addressing bias in AI is not just a technical challenge, but also a social and ethical one. We need to be mindful of the potential impact of AI on society and ensure that it is used for good.

AI's future depends on building trust and ensuring fairness. Let's work towards responsible AI development and deployment that benefits all of humanity.

“Nature is a formidable foe. And in the long run, it tends to get its way.”
― Michael Bihovsky

This is true whether Americans care to think about it.

Job automation is a major concern. While AI can increase productivity, it also has the potential to displace workers. We need to prepare for the future of work.

The spread of misinformation is a growing problem. AI-powered platforms can amplify false information, with potentially harmful consequences.

"The most remarkable discovery in all of astronomy is that the stars are made of atoms of the same kind as those on the earth." -Richard P. Feynman

The future likely holds a collaborative relationship between human and artificial intelligence. Understanding the respective strengths and limitations of both forms of intelligence will be crucial to harnessing their combined potential for the benefit of humanity.

There is a reason we cannot define artificial intelligences. We cannot define natural intelligence.

Pattern recognition is a core function of both human and artificial intelligence, but humans leverage a broader understanding of context.

General intelligence is hard. Expert systems are easy.

"For a successful technology, reality must take precedence over public relations, for Nature cannot be fooled." -Richard P. Feynman

Just because visualizations can be made does not mean the should be made.

"Technology is eroding our privacy and our freedom." - Edward Snowden

Active research is fine... expect for the fact that it justifies existing prejudices.