How Can Algorithms Be Designed to Mitigate Bias? скачать в хорошем качестве

How Can Algorithms Be Designed to Mitigate Bias?

Explore the critical methods for designing algorithms that actively work to reduce and eliminate inherent biases. This video delves into how developers and legal frameworks are shaping a more equitable future for artificial intelligence. Discover key strategies for mitigating algorithmic bias, including: ► Understanding the origins and impacts of algorithmic bias in various systems. ► Techniques for pre-processing data to ensure fairness and representation. ► Methods for in-processing and post-processing to detect and correct bias during and after model training. ► The role of ethical AI principles and regulatory guidelines in fostering responsible algorithm design. ► Practical approaches and considerations for implementing fairness-aware algorithms in real-world applications. #AlgorithmicBias, #AIEthics, #FairAI, #TechnologyLaw, #MachineLearning