Whether you’re an engineer or a non-engineer, AI for Everyone Insights helps you understand the uses and impacts of generative AI. This course from Andrew Ng — co-founder of Google Brain and Coursera, former head of AI at Baidu and founder of this Machine Learning Mastery series — teaches you the basics of how gen AI works today and will change our world in the future.
Despite what many have heard, the truth is that AI is not inherently good or bad. It all depends on the way it is deployed. AI is a powerful tool that can help companies be more efficient, productive and profitable. However, there are disadvantages, such as costly implementation, potential job loss and a lack of empathy and creativity.
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One of the most significant challenges with gen AI is its propensity to create biases. If the data used to train an algorithm is biased in any way, the AI will deliver a similar result. This is why it’s important to perform quality checks on the data and results generated by an AI.
Another disadvantage of gen AI is that it can be manipulated to enable unethical or illegal activity. As gen AI models have become more popular, organizations have been aware of users “jailbreaking” these systems to deliver inappropriate or misleading content. Organizations are responding to this by implementing governance structures around their AI models that ensure transparency and accountability both internally and externally.