What are the key ethical considerations and potential risks associated with the deployment of advanced machine learning models in real-world applications?
The deployment of advanced machine learning models in real-world applications necessitates a rigorous examination of the ethical considerations and potential risks involved. This analysis is crucial in ensuring that these powerful technologies are used responsibly and do not inadvertently cause harm. The ethical considerations can be broadly categorized into issues related to bias and fairness,
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Responsible innovation, Responsible innovation and artificial intelligence, Examination review
What are some of the ethical considerations and challenges associated with the development and deployment of advanced AI systems, particularly in terms of robustness, fairness, and societal impact?
The development and deployment of advanced AI systems, particularly those leveraging deep learning techniques, present a multitude of ethical considerations and challenges. These challenges span across several dimensions, including robustness, fairness, and societal impact. Each of these dimensions demands careful examination to ensure that AI technologies are developed and used responsibly. Robustness is a critical
- Published in Artificial Intelligence, EITC/AI/ADL Advanced Deep Learning, Introduction, Introduction to advanced machine learning approaches, Examination review