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Ethical Machine Learning - Kehsa Williams - NDC Porto 2023
Discover the critical role of ethics in machine learning, including bias detection, transparency, and explainability, with a focus on human oversight, AI system performance, and societal implications.
- Importance of ethical considerations in machine learning
- Data preprocessing and bias detection during the data prep stage
- Explainability and transparency in AI decision-making
- Need for human oversight and feedback in AI systems
- Impact of AI on people and society, such as biased decision-making and lack of explainability
- Importance of understanding and addressing bias in AI systems
- Use of tools like Data Wrangler and SageMaker Clarify to detect and mitigate bias
- Example of AI system used in police work, highlighting potential for bias and lack of transparency
- Need for regular monitoring and reporting of AI system performance and results
- Importance of considering moral and ethical implications of AI systems
- Example of biased decision-making in hiring, advertising, and lending
- Need for transparency and explainability in AI decision-making
- Importance of considering both ethical and technical aspects of AI development
- Use of AI to identify breast cancer early, but also potential misuse and biased decision-making
- Need for continuous learning and improvement in AI development