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Their products are interesting, but Charles Armstrong's views on his blog are even more interesting. They resonated highly with me, particularly the appropriateness of 'enterprise social computing' (or 'enterprise social systems' as one of his correspondents prefers).

Nowadays organizations have realized the importance of knowledge and knowledge management.  The organizations know that machines, equipments, and building cannot count as the most important properties of the organization. It is clear that the most important property of every organization is organizational knowledge and correct management of it will cause core competencies for the organization and also victory against the competitors. Of course knowledge and knowledge management both are important for an organization, but are all knowledge management efforts in the organizations successful? If knowledge management efforts fail in an organization, what are the main failure factors of this phenomenon? This paper attempts to answer this question by analyzing a failed case study in implementing a knowledge management system .

Last year, we undertook a massive overhaul of the technology and approach we use for knowledge management, moving from a centrally managed, linear, taxonomy- and repository-based system to one that leverages the best of Web 2.0, including social software, user participation, and key market-driven concepts like sponsored links. We see this as a shift from "knowledge management" to "knowledge sharing."

In September, the Wikimedia Foundation won a $250,000 grant from the Knight Foundation to start building the "Wikimedia Knowledge Engine," a "system for discovering reliable and trustworthy public information on the internet," according to grant documents, which were released late last week. That the Knowledge Engine, now known as "Wikimedia Discovery," even existed was news to the Wikipedia editors community, who say the project's secretive nature and very existence are fundamentally at odds with Wikimedia's transparent ethos.

"OpenAI's mission is to ensure that artificial general intelligence (AGI) - by which we mean highly autonomous systems that outperform humans at most economically valuable work - benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome."

"Some of the most promising blockchain use cases currently in development include financial instrument and trade identification, data delivery, payment systems, land registration, contract law, and even identity verification."

"IBM and Danish transport and logistics company Maersk announced Jan. 16 that they are teaming up to create an as-yet-unnamed Blockchain-based shipping and supply chain company. The goal of the venture is to commercialize Blockchain for all aspects of the global supply chain system, from shipping to ports, and banks to customs offices."

Virtual assistants get infuriating when they fail to do something we expect to be within their capabilities. Researchers are interested in studying how people form expectations about what such systems can and can't do-and how virtual assistants themselves might be designed to nudge us toward only asking things that won't lead to disappointment. One of the research questions is how do you reset a user's expectations on the fly when they're interacting with a virtual assistant.

"Police in Durham are preparing to go live with an artificial intelligence (AI) system designed to help officers decide whether or not a suspect should be kept in custody."

The debate between artificial intelligence (AI) and intelligence augmentation (IA) has been raging for decades. Will computer systems replace humans with a faster, smarter form of intelligence (AI) or will they augment our existing human intelligence and work alongside us (IA)?

Hidden biases may be written inadvertently into the algorithms used to decide who gets a job interview or who qualifies for a loan or for parole. If a data set considers the word "programmer" closer to the word "man" than "woman," or if you build a system that learns from Wikipedia, where only 17 per cent of profiles of notable people are women, these biases will be perpetuated in the machine.

"Today we announce Google Duplex, a new technology for conducting natural conversations to carry out "real world" tasks over the phone. The technology is directed towards completing specific tasks, such as scheduling certain types of appointments."

"The company of the future - and indeed the company of the present - needs new instruments to adapt to a changing reality. The new generation of digital natives is progressively being incorporated to the world of work. We are talking about a generation that has lived most of its life within the technological revolution that has occurred in the last two decades. It has connected people, who spend more time on the Internet than in front of the television and who have lived with the emergence of video games. It is not to judge whether that is good or bad, it's simply real and nothing will change it."

Looking at the HiSocial offering, I can't help but wonder about unintended consequences. The digital natives are savvy and will naturally find ways of 'gaming' the system. If you simple reward actions such as visiting intranet pages or 'downloading corporate material', you are in no way increasing the sum total knowledge, helping efficiency or decision making. What's needed is reward that stimulates participation and qualitative contribution, not just transactions.

Possible KIN Associate

from Barry Jones, BAE Systems