How can we overcome bias in artificial intelligence?

How can we overcome bias in artificial intelligence?

Eight Steps on How to Reduce Bias in AI

1. Define and narrow the business problem you’re solving.
2. Structure data gathering that allows for different opinions.
3. Understand your training data.
4. Gather a diverse ML team that asks diverse questions.
5. Think about all of your end-users.
6. Annotate with diversity.

What is the main reasons for bias in the AI systems?

Machine learning bias generally stems from problems introduced by the individuals who design and/or train the machine learning systems. These individuals could either create algorithms that reflect unintended cognitive biases or real-life prejudices.

What are examples of bias in an AI system?

An example of algorithmic AI bias could be assuming that a model would automatically be less biased when not given access to protected classes, say, race. In reality, removing the protected classes from the analysis doesn’t erase racial bias from AI algorithms.

Can AI process emotions?

Currently, it is not possible for Artificial Intelligence to replicate human emotions. However, studies show that it would be possible for AI to mimic certain forms of expression.

How do you solve high bias issues?

Solution for high bias problem :

1. Adding more features to the hypothesis function might solve the high bias problem.
2. If new features are not available, we gen create new features by combining two or more existing features or by taking a square, cube, etc of the existing feature.

What is a problem that artificial intelligence could help to solve?

AI software could help the procurement industry overcome huge challenges, such as risk analysis of suppliers, monitoring exchange rates, comparing prices of suppliers, managing supply chain risks, and finding the best value without compromising quality.

How do you solve bias?

Here are some tips to help you start breaking implicit bias patterns:

1. Increase contact with people who are different from you.
2. Notice positive examples.
3. Be specific in your intent.
4. Change the way you do things.
5. Heighten your awareness.
6. Take care of yourself.

How do you mitigate bias?

10 ways to mitigate against unconscious bias at your company

1. Make sure employees understand stereotyping, the foundation for bias.
2. Set expectations.
3. Be transparent about your hiring and promotion process.
4. Make leaders responsible.
5. Have clear criteria for evaluating qualifications and performance.
6. Promote dialogue.

What are some of the areas where emotions can create problems for artificial intelligence systems?

Human Beings are emotional beings, it can create problems. We can make mistakes in anger, Love, tension etc. If AI has also these thing then the problem can create, like angry on users maybe dangerous!

How do you handle high bias and high variance?

How to address High Variance or High Bias?

1. Reduce input features(because you are overfitting)
2. Use less complex model.
3. Include more training data.
4. Increase Regularization term.

How do you fix bias and variance in machine learning?

How to fix bias and variance problems?

1. Adding more input features will help improve the data to fit better.
2. Add more polynomial features to improve the complexity of the model.
3. Decrease the regularization term to have a balance between bias and variance.