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An AI-powered program that integrates user social and learning context to create a customized education plan, similar to a digital assistant optimized for education.

An AI mentor is a digital assistant that uses neural networks to act as a mentor by suggesting pathways and developing customized individual learning programs, according to the specific needs of each user. By supporting individuals in social and learning contexts, as well as personal interests, this AI-powered program would run like a cross-media Chatbot featuring both conversational and curated content adapted according to educational methods embedded into its system.

On an institutional level, AI mentors could evaluate students as well as the institution itself. These analyses would occur based on the quality of their curriculum and teaching materials while taking advantage of the potential for artificial intelligence to create unique learning pathways for individual lessons in massive open online courses (MOOCs), combined through blended and online learning.

Beyond formal education, these digital assistants could also be assigned to function as personal counselors for professionals who are searching for jobs and those who desire to improve their skills. By cross-referencing data from an early age, it could deeply understand each individual's best skills, connecting them with more-suitable companies, and providing opportunities for employment and courses all across the globe. With social media information and pattern recognition techniques, it would connect the user to a network of institutions and to their content and job offers. A downside to this functionality could be that individuals that are judged by the mentor to have not achieved the desired skills applied to its standards would have a difficult time finding jobs.

As the system develops, it would connect learning capabilities directly to brainwave measurements, being able to understand brain patterns without the need for explicit communication from the user. It could also potentially access users' DNA information if it were deemed relevant or useful. However vast the tutoring abilities of such an entity might be, it is not recommended for an individual's educational raising to be solely through an artificial agent, and regulations must be created to prevent it.

Future Perspectives
Privacy concerns arise alongside the excitement of such sophisticated technology, as the repositories that gather immense amounts of sensitive data from an individual could be highly valuable to a variety of industries. Coordinated hyper-targeted advertising could begin to appear, and insurance companies could sell ultra-personalized policies based on individuals' preferences registered by an AI mentor. Questions regarding ownership over collected data and how said data could be used are in great need to be addressed when moving forward with the development of this technology.

One of the challenges for personal AI assistants is regarding the voices of young children. They are unstable and more complex to recognize when compared to adult-trained networks. An AI mentor could solve this problem, as it would be explicitly trained with the voice of its owner, learning to understand their patterns and mistakes as their communication skills continue to develop. This deep-learning system could be trained with the learning rhythm and preferences of each young child, allowing the system to become an extremely personalized teaching assistant to the point of being able to predict future struggles while guiding their learning to avoid missing out on any content.

Accordingly, these personal mentors could support high-risk areas where professors and educators lack personal safety or easy access. It would give the possibility for kids and adults alike, or even the elderly, and people with limited mobility, to approach educational systems and autonomously accompany the different styles of education provided worldwide.

AI Mentor

KEY TRENDS

Artificial Intelligence (AI)