Learn about AI ethics, a framework that guides data scientists and researchers to build AI systems in an ethical manner to benefit society as a whole. By @IBM.
Ethics is a set of moral principles which help us discern between right and wrong. AI ethics is a set of guidelines that advise on the design and outcomes of artificial intelligence. Human beings come with all sorts of cognitive biases, such as recency and confirmation bias, and those inherent biases are exhibited in our behaviors and subsequently, our data. Since data is the foundation for all machine learning algorithms, it’s important for us to structure experiments and algorithms with this in mind as artificial intelligence has the potential to amplify and scale these human biases at an unprecedented rate.
This article aims to provide a comprehensive market view of AI ethics in the industry today and provides following information on the subject:
- What are AI ethics?
- Establishing principles for AI ethics
- Primary concerns of AI today
- How to establish AI ethics
- Ethical AI organizations
- IBM’s point of view on AI Ethics
- AI ethics and IBM
Since ethical standards are not the primary concern of data engineers and data scientists in the private sector, a number of organizations have emerged to promote ethical conduct in the field of artificial intelligence. Good read!
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