1) Artificial cognition for social human-robot interaction: An implementation
Year of publish – 2016
Summary – In many regards, the human-robot interaction has become a challenge for AI. This is because the environment built-in was not typically designed for robots. An environment that requires semantics to comprehend physical interaction with humans. Therefore, socially acceptable strategies such as controllable, multi-modal, and natural models need to be implemented. The major challenge needed to be curbed includes joint-action, communication, and human-aware execution. Building an architecture that binds itself on a human-level semantics might perhaps provide a plausible solution.
2) Explanation in artificial intelligence: Insights from the social sciences
Year of publish – 2018
Summary – The implications of AI coming through social sciences is said to have indecisive implementations. Many renowned researchers and AI experts are paving ways to offer better transparency to the algorithms used. The subject of this research majorly focuses on how actions to humans can be conveyed. Perhaps the reason behind the research is to find how humans can easily explain themselves to one another. Research topics go beyond philosophy, psychology, and cognitive science to demonstrate how humans can define, select, generate, and make a quick evaluation in explaining the process.
3) The Hanabi challenge: A new frontier for AI research
Year of publish – 2020
Summary – Every game needs a testbed. Ever since games were invented, a proper environment and a platform were required to run a test to find out whether the game was perfect enough to be launched. Hanabi is a card game that required cooperation between players having imperfect information. The concept of the challenge was to figure out whether it can understand the intention and beliefs of the other players. Based on a strategy called SPARTA, it could easily understand why it made the actions it was supposed to during the game.
4) Quantum computation, quantum theory and AI
Year of publish – 2010
Summary – Quantum computing! The hot and noisy buzzword is now solving society’s biggest challenges. In present times, researchers are not just inventing hardware but are building machines along with principles for businesses. Quantum computing owns the power to make computers perform tasks efficiently and quickly. They possess the potential ability to do things a normal computer is not capable of doing such as cracking encryption techniques, finding the best ways to schedule flights at the airport, and predicting the best routes of delivery for delivery trucks.
5) Argumentation in artificial intelligence
Year of publish – 2007
Summary – Undoubtedly, AI augmentation has become the core subject of the AI world. To be precise, augmented AI is here to show the world that cognitive ability is here just to support human intelligence and it is not here to replace it. Nonetheless, it is the role human intelligence possess using deep learning and machine learning algorithms to solve complex problems. Simply said, AI augmentation is here to make life much more simple as such to support, accelerate, and increase the efficiency of the tasks humans perform. Such instances include tasks like auto-transcription software and self-driving cars.
6) Evolution of artificial intelligence
Title – The Evolution of Artificial Intelligence
Year of publish – 2006
Summary – Artificial intelligence, the term coined by John McCarthy in the year 1956 now becomes a sensational technology for many organizations and industries. We’ve all become a part of the AI world, from using voice assistant apps to playing the best series recommended to you – this is all the work of AI. The new technology predicts to create double the jobs than it destroys. While it is still the responsibility of us as humans to balance the good and the evil and move toward developing a successful AI revolution.
7) Shifting viewpoints: Artificial intelligence and human-computer interaction
Year of publish – 2006
Summary – Artificial intelligence is on the verge to change the needs of humans. Besides this, it has started delivering positive business models. People are now looking forward to considering ethics of AI along with its comprehensibility and interpretability – for all we know, these are human aspects. And this wave has only one solution which is characterizing using technological enhancement, application, and a human-centered approach. Though having opposite viewpoints on how computers and humans must interact, it is also critical to examine how both these bodies will work together.
Source of Research Papers: Elsevier
