Artificial intelligence (AI) is a process of programming computers to make decisions for themselves. This can be done through a number of methods, including but not limited to: rule-based systems, decision trees, artificial neural networks, and genetic algorithms. Responsible AI is the practice of using AI in a way that is ethically and morally responsible. This includes considering the potential impacts of AI on society and individuals, and taking steps to ensure that AI is used in a way that is fair, transparent, and accountable. Text, code, and image generation are all methods that can be used to create AI models. Each has its own strengths and weaknesses, and there is no one-size-fits-all solution. Code generation is often used for rule-based systems, while image generation can be used for both decision trees and artificial neural networks.

Artificial Intelligence (AI) in education has been around for a while, typically doing tasks that require human intelligence. An early memory of AI would be adaptive testing where questions would get tougher and tougher as you kept on answering the right questions. Over the last decade or so computing power has gained leaps and bounds and AI is also getting more evolved to play a larger role in education both for the teacher and learner. Today, Grammarly is a common tool used by many of us which uses AI with natural language processing (NLP) to produce recommendations. One of the challenges for AI is that a large amount of data is required to run the solutions effectively.

With half of the world population online, and spending over 5 hours a day there, online communities are flourishing. It is now easier than ever for niche communities to form: gamers can find other players and form teams, dating adults can find better matches, students of particular subjects can find teachers and help each other. With faster networks images, audio, and video, are increasingly complementing text, creating a richer experience. However, as these communities grow wider and deeper, they can become a target for toxic behavior. Forums for underage users can be subverted with users attempting illicit solicitations and exploitation.

With half of the world population online, and spending over 5 hours a day there, online communities are flourishing. It is now easier than ever for niche communities to form: gamers can find other players and form teams, dating adults can find better matches, students of particular subjects can find teachers and help each other. With faster networks images, audio, and video, are increasingly complementing text, creating a richer experience. However, as these communities grow wider and deeper, they can become a target for toxic behavior. Forums for underage users can be subverted with users attempting illicit solicitations and exploitation.

As part of the IoT Slam 2017 conference, I presented on using the combined power of artificial intelligence, blockchain, and the Internet of Things to build intelligent connected products. For details on the talk, you can see my abstract here.