Recently, the movement for Ethical AI has been gaining steady momentum from academic researchers, social activists, and lawyers. Ethical AI is the development and use of artificial intelligence systems in a manner that is safe, responsible and non-discriminatory. An organization that uses AI ethically would treat user data with respect, collect, store and use it in accordance with user consent, and ensure that the model does not make biased decisions. In the past, seemingly intelligent systems have been known to discriminate; such as the AI system that Amazon was using for hiring decisions was systematically discriminating against women.
Ethical AI is built around the core principles of fairness, transparency, accountability and consent. These principles do seem to make sense for the most part; they put users in control of the data, ensure that there is no discrimination, and enforces through audits and accountability that companies are following best practices and legal regulations. However, ethical AI might not always be the best course of action – especially in cases where the AI is being used for cyber security.
AI for security includes the use of machine learning and data science for a variety of issues like fraud detection, spam filtering, malware analysis and hate speech detection. It is different from other applications of AI (like making hiring decisions) for a multitude of reasons, but principally because of the potential cost of an incorrect decision by the AI, which can be significant in terms of loss of money, data, or sometimes even life.
Continue reading: https://www.freepressjournal.in/technology/ethical-ai-a-challenge-for-security-spplications
Ethical AI is built around the core principles of fairness, transparency, accountability and consent. These principles do seem to make sense for the most part; they put users in control of the data, ensure that there is no discrimination, and enforces through audits and accountability that companies are following best practices and legal regulations. However, ethical AI might not always be the best course of action – especially in cases where the AI is being used for cyber security.
AI for security includes the use of machine learning and data science for a variety of issues like fraud detection, spam filtering, malware analysis and hate speech detection. It is different from other applications of AI (like making hiring decisions) for a multitude of reasons, but principally because of the potential cost of an incorrect decision by the AI, which can be significant in terms of loss of money, data, or sometimes even life.
Continue reading: https://www.freepressjournal.in/technology/ethical-ai-a-challenge-for-security-spplications
