Research and application have used human-AI teaming (HAT) as a new paradigm to develop AI systems. HAT recognizes that AI will function as a teammate instead of simply a tool in collaboration with humans. Effective human-AI teams need to be capable of taking advantage of the unique abilities of both humans and AI while overcoming the known challenges and limitations of each member, augmenting human capabilities, and raising joint performance beyond that of either entity. The National AI Research and Strategic Plan 2023 update has recognized that research programs focusing primarily on the independent performance of AI systems generally fail to consider the functionality that AI must provide within the context of dynamic, adaptive, and collaborative teams and calls for further research on human-AI teaming and collaboration. However, there has been debate about whether AI can work as a teammate with humans. The primary concern is that adopting the "teaming" paradigm contradicts the human-centered AI (HCAI) approach, resulting in humans losing control of AI systems. This article further analyzes the HAT paradigm and the debates. Specifically, we elaborate on our proposed conceptual framework of human-AI joint cognitive systems (HAIJCS) and apply it to represent HAT under the HCAI umbrella. We believe that HAIJCS may help adopt HAI while enabling HCAI. The implications and future work for HAIJCS are also discussed. Insights: AI has led to the emergence of a new form of human-machine relationship: human-AI teaming (HAT), a paradigmatic shift in human-AI systems; We must follow a human-centered AI (HCAI) approach when applying HAT as a new design paradigm; We propose a conceptual framework of human-AI joint cognitive systems (HAIJCS) to represent and implement HAT for developing effective human-AI teaming

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. Our abilities to invent and use tools are critical to human evolution. Computers as tools have certainly advanced humanity since their inception. As computing technologies advance, human-machine relationships have also been evolving. Initially only computer developers or programmers can operate computers by giving machine (programming) instructions that computers can understand and follow. With the development of graphical user interfaces (GUI), the masses can now operate computers with no code.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. A new report from consulting firm Emergn, Realizing the Human-Machine Relationship, finds that while automation isn't helping to create new products, the return on investment (ROI) remains high in the enterprise. A majority of the barriers preventing organizations from seeing positive impacts from automation are related to people, according to the report, while better guidance around best practices for implementation has the potential to ensure greater ROI from automation. In May 2021, Emergn surveyed 320 directors, VPs, presidents, and chief officers from organizations in the life sciences, insurance, and financial services industries across Germany, Switzerland, the U.K., and the U.S. The study examined how organizations are incorporating automation technologies including workflow automation, chatbots, task automation and robotic process automation, and machine learning into their operations, as well as how this automation is impacting the work of employees. Countering assertions that automation is more trend-following than strategic, 91% of respondents told Emergn that automation technologies have affected their business positively.

What is the true face of Artificial Intelligence (AI)? Can it bring many benefits? Can it bring any harm? A thorough and detailed study of the most prominent AI interfaces from Google to Uber was conducted by us. The study highlighted familiar, and widely used and accepted AI such as IBM's Watson, Apple's Siri, Amazon's Alexa, and Google Assistant. It shows us exactly how alarming this state of affairs has become. The situation is serious and it may prove good advice to regain control before it's too late.

This is what makes them dangerous.' Previously, I talked about how AI could change the human-machine relationship. Who should be making the decisions in an autonomous car? Should humans always be able to overrule robot decisions? What if you only have a split second to react?

Will robots continue to work for us? What would that future look like?

Will robots continue to work for us? What would that future look like?

Science fiction films such as Blade Runner (1982), Lars and the Real Girl (2007) and Her (2013) explore the advent of human-machine relationships. And in recent years, reality has met fiction. Powered by advancements in artificial intelligence (AI) and social robotics, artificial social agents are learning to communicate, learn and socialize, transforming our societies. Yet research on human-machine interaction is still in its early stages, particularly in the areas of intimacy and sexuality. In addition to our research on the topic, we have also been involved in spearheading initiatives to remedy the lack of knowledge on intimate human-machine relationships.

The artificial intelligence of today has almost nothing in common with the AI of science fiction. In "Star Wars," "Star Trek" and "Battlestar Galactica," we're introduced to robots who behave like we do -- they are aware of their surroundings, understand the context of their surroundings and can move around and interact with people just as I can with you. These characters and scenarios are postulated by writers and filmmakers as entertainment, and while one day humanity will inevitably develop an AI like this, it won't happen in the lifetime of anyone reading this article. Because we can rapidly feed vast amounts of data to them, machines appear to be learning and mimicking us, but in fact they are still at the mercy of the algorithms we provide. To illustrate this in grossly simplified terms, imagine a computer system in an autonomous car.

In the first part of my blog, I looked in more detail at the question of how "human" the so-called artificial intelligence (AI) is, and that creativity is not a distinguishing feature to us humans, since machines have already become quite creative themselves. But it is difficult to say whether it is a good or bad for computers to be creative – and, thus, to be somehow human. Perhaps a comparison involving human beings can help. When do we trust a person? When we are familiar with his/her views and values, and we've found him/her to be reliable.