If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Machine learning is incredibly important for user experience (UX) optimization. You need to use the right AI tools to understand the user's response to a design and optimize it more effectively. User interface design requirements are drastically different for mobile devices when compared with those for a desktop or a laptop computer. Mobile devices have a much smaller screen and are controlled by touch. This means that a UI designer is going to need to take into consideration usability, consistency, and readability when designing their product. Last year, Venture Beat talked about the benefits of combining AI with UI design practices.
User Interface (UI) design is an creative process that involves considerable reiteration and rework. Designers go through multiple iterations of different prototyping fidelities to create a UI design. In this research, we propose to modify the UI design process by assisting it with artificial intelligence (AI). We propose to enable AI to perform repetitive tasks for the designer while allowing the designer to take command of the creative process. This approach makes the machine act as a black box that intelligently assists the designers in creating UI design. We believe this approach would greatly benefit designers in co-creating design solutions with AI.
There is little debate that there are huge benefits and risks to AI, both for agencies and their clients. Instead, industry discussions have now turned toward how to maintain the balance: embracing the day-to-day convenience machine intelligence can provide, while at the same time, walking the thin line of fear that society still feels for any kind of artificial intelligence.
The call for proposals for the O'Reilly Artificial Intelligence Conference, September 17-20, 2017, in San Francisco, is now open. "Bots are the new apps"--Satya Nadella, CEO of Microsoft Bots are a new, AI-driven way to interact with users in a variety of environments. As AI improves and users turn away from single-purpose apps and toward messaging interfaces, they could revolutionize customer service, productivity, and communication. Getting started with bots is as simple as using any of a handful of new bot platforms that aim to make bot creation easy; sophisticated bots require an understanding of natural language processing (NLP) and other areas of artificial intelligence. Since late 2015, bots have been the subject of immense excitement in the belief that they might replace mobile apps for many tasks and provide a flexible and natural interface for sophisticated AI technology.
The next decade will see an abundance of new intelligent systems, many of which will be market-based. Soon, users will interact with many new markets, perhaps without even knowing it: when driving their car, when listening to a song, when backing up their files, or when surfing the web. We argue that these new systems can only be successful if a new approach is chosen towards designing them. In this paper we introduce the general problem of "Hidden Market Design." The design of a "weakly hidden" market involves reducing some of the market complexities and providing a user interface (UI) that makes the interaction seamless for the user. A "strongly hidden market" is one where some semantic aspect of a market is hidden altogether (e.g., budgets, prices, combinatorial constraints). We show that the intersection of UI design and market design is of particular importance for this research agenda. To illustrate hidden market design, we give a series of potential applications. We hope that the problem of hidden market design will inspire other researchers and lead to new research in this direction, paving the way for more successful market-based systems in the future.