What is Ethics and Bias in AI? Why does it matter?

Ethics and Bias in AI refers to the ethical and moral dilemmas associated with the use of Artificial Intelligence (AI) technology.

AI is being used in a wide range of sectors, such as healthcare, finance, and law, and it is important to ensure that it is used responsibly.

AI is often programmed with ‘bias’, which is when a machine learning algorithm is trained using data that has been collected with certain assumptions or beliefs.

This means that AI can be used to perpetuate existing prejudices, such as those based on gender, race, or socioeconomic status.

As such, it is important to ensure that AI is developed and used in a way that is ethical and fair and does not discriminate against any group of people.

For example, an AI-driven system used to detect criminals or fraudsters must not be biased against certain groups of people and must be designed with strong safeguards against misuse.

Another example is facial recognition technology, which has been found to be less accurate in identifying people with darker skin tones.

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