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ExplainableAI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. ContinuousLearning Given the rapid pace of advancements in the field, a commitment to continuouslearning is essential.
Lack of Transparency Many AI systems operate as “black boxes,” making it difficult for users to understand how decisions are made. ExplainableAI (XAI) is crucial for building trust in automated systems. These trends indicate a rapidly evolving field where continuouslearning will be essential for professionals.
You can adopt these strategies as well as focus on continuouslearning to upscale your knowledge and skill set. Leverage Cloud Platforms Cloud platforms like AWS, Azure, and GCP offer a suite of scalable and flexible services for data storage, processing, and model deployment.
Data Tasks ChatGPT can handle a wide range of data-related tasks by writing and executing Python code behind the scenes, without users needing coding expertise. ChatGPT would understand the intent behind the query and translate it into the appropriate SQL or Python code to execute against databases or data warehouses.
Deep learning models are black-box methods by nature, and even though those models succeeded the most in CV tasks, explainability is still poorly assessed. ExplainableAI improves the transparency of those models making them more trustworthy. Do the data agree with harmful stereotypes?
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