shine india monthly magazine

shine india monthly magazine

shine india monthly magazine This article was published in September Public-private partnership: Partnership with the private sector is necessary since the public sector alone will not be able to make the necessary innovations at such complex technological levels. Also such partnership will: o Strengthen AI training and research o Facilitate sharing of material and financial resources o Ensures that educational programmes are aligned with labour market needsAddress ethical issues: Consult experts to create blueprints and roadmaps in the uncertainty of the near future development of AI. o Data anonymity: Ensure that personally identifiable information and individual privacy preferences of both students and teachers are protected. o Algorithmic fairness: Change the current approach of training data reflecting the real world. The data training should depict an ideal world where no bias and discrimination exist. This necessitates data cleaning and editing before entering them to AI. Conclusion AI is a dual-use technology. A variety of AI-powered education tools offer opportunities across many aspects of education such as formal and informal learning teaching evaluation etc. However it also entails challenges related to AI use and management which needs to be addressed first both at the global level and at the national level in India shine india monthly magazine subscription.shine india monthly magazine This article was published in September Public-private partnership: Partnership with the private sector is necessary since the public sector alone will not be able to make the necessary innovations at such complex technological levels. Also such partnership will: o Strengthen AI training and research o Facilitate sharing of material and financial resources o Ensures that educational programmes are aligned with labour market needsAddress ethical issues: Consult experts to create blueprints and roadmaps in the uncertainty of the near future development of AI. o Data anonymity: Ensure that personally identifiable information and individual privacy preferences of both students and teachers are protected. o Algorithmic fairness: Change the current approach of training data reflecting the real world. The data training should depict an ideal world where no bias and discrimination exist. This necessitates data cleaning and editing before entering them to AI. Conclusion AI is a dual-use technology. A variety of AI-powered education tools offer opportunities across many aspects of education such as formal and informal learning teaching evaluation etc. However it also entails challenges related to AI use and management which needs to be addressed first both at the global level and at the national level in India shine india monthly magazine subscription.

shine india monthly magazine