Question 1What are the current limitations of AI technology? (Select all that apply)1 pointAI technology can discriminateThere are no limitations to AI technologyAI technology is susceptible to adversarial attacksAI technology can be biasedExplainability is hard

The current limitations of AI technology include:

1. AI technology can discriminate: AI systems can unintentionally perpetuate and amplify existing biases if they are trained on biased data. For example, an AI system trained on job applications might learn to favor male applicants if it was trained on a dataset that included more successful male applicants than female ones.

2. AI technology is susceptible to adversarial attacks: Adversarial attacks involve feeding misleading input to AI systems to trick them into making incorrect decisions. For example, an adversarial attack might involve subtly altering an image so that an AI system incorrectly identifies it.

3. AI technology can be biased: Similar to the first point, AI systems can learn to make biased decisions if they are trained on biased data. This can lead to unfair outcomes in areas like hiring, lending, and law enforcement.

4. Explainability is hard: AI systems, particularly those based on complex machine learning algorithms, can be difficult to understand and explain. This can make it hard to trust their decisions, particularly in high-stakes areas like healthcare or criminal justice.

The option "There are no limitations to AI technology" is incorrect. Like any technology, AI has its limitations and challenges.