China is working to update the rugged old computer systems on nuclear submarines with artificial intelligence to enhance the potential thinking skills of commanding officers, a senior scientist involved with the programme told the South China Morning Post. A submarine with AI-augmented brainpower not only would give China's large navy an upper hand in battle under the world's oceans but would push applications of AI technology to a new level, according to the researcher, who spoke on condition of anonymity because of the project's sensitivity. "Though a submarine has enormous power of destruction, its brain is actually quite small," the researcher said. While a nuclear submarine depends on the skill, experience and efficiency of its crew to operate effectively, the demands of modern warfare could introduce variables that would cause even the smoothest-run operation to come unglued. For instance, if the 100 to 300 people in the sub's crew were forced to remain together in their canister in deep, dark water for months, the rising stress level could affect the commanding officers' decision-making powers, even leading to bad judgment.

China's Ministry of Science and Technology has released a set of ethical guidelines regarding artificial intelligence (AI), with a focus on enhancing user autonomy and protecting privacy. The release of AI-related regulations is a part of Beijing's ambition to become a leader in the industry by 2030. Titled "New Generation Artificial Intelligence Ethics Specifications," the document outlines six basic ethical guidelines for implementing and using AI in society. It specifically points out that humans should have full decision-making power. Other main points include the promotion of fairness, justice, harmony and security when using AI systems.

Our article offered the first systematically conducted review of published artificial intelligence (AI) ethics guidelines. We analysed 84 documents and found that, despite an apparent convergence on certain ethical principles on the surface level, there are substantive divergences on how these principles are interpreted, why they are deemed important, what issue, domain or actors they pertain to, and how they should be implemented. Scholarly and public discussions on AI ethics have certainly evolved. Although the illusion that'ethical AI' is simply a technological matter still lingers, 2020 has seen an important push towards broader acceptance of the sociotechnicity of AI. Acknowledging the sociotechnical nature of AI systems requires us, as Pratyusha Kalluri put it succinctly1, to centre less on fairness, or on'AI for good', and more on power distribution and power differentials.

Social activities play an important role in people's daily life since they interact. For recommendations based on social activities, it is vital to have not only the activity information but also individuals' social relations. Thanks to the geo-social networks and widespread use of location-aware mobile devices, massive geo-social data is now readily available for exploitation by the recommendation system. In this paper, a novel group recommendation method, called attentive geo-social group recommendation, is proposed to recommend the target user with both activity locations and a group of users that may join the activities. We present an attention mechanism to model the influence of the target user $u_T$ in candidate user groups that satisfy the social constraints. It helps to retrieve the optimal user group and activity topic candidates, as well as explains the group decision-making process. Once the user group and topics are retrieved, a novel efficient spatial query algorithm SPA-DF is employed to determine the activity location under the constraints of the given user group and activity topic candidates. The proposed method is evaluated in real-world datasets and the experimental results show that the proposed model significantly outperforms baseline methods.

Hardly a day goes by without the announcement of an incredible new frontier in Artificial Intelligence (AI). From fintech to edtech, what was once fantastically improbable is now a commercial reality. There is no question that big data and AI will bring about important advances in the realm of management, especially as it relates to being able to make better-informed decisions. But certain types of decisions -- particularly those related to strategy, innovation and marketing -- will likely continue to require a human being who can take a holistic view and make a qualitative judgment based on a personal consideration of the context and facts. In fact, to date, there is no AI technology that is fully able to factor in the emotional, human, and political context needed to automate decisions.

Digitalisation and the new technological possibilities that artificial intelligence (AI) brings are driving the biggest social and economic changes since the industrial revolution. These are associated with opportunities and risks. Without the right political, economic and ethical framework conditions there is a risk of uncontrolled development and a negative impact of AI. AI ultimately affects all industries more or less heavily. AI or specific forms of it, such as machine learning (ML), can be used in a wide variety of application scenarios.

Predicting the future is risky business. You never really know if you are going to get it right. While experts may not agree on exactly how work will change in the next decades, there is growing consensus that "we find ourselves at the edge of another industrial revolution," according to Professor Sabine Kunst, president of the Humboldt University, Berlin. "Advances in artificial intelligence, the Internet of Things, and Big Data are already profoundly shifting all aspects of society -- how we work, connect, organize politically, and learn as human beings," she continues. What to anticipate, how to manage these changes, and how to ensure humans do not get left behind is what business leaders, researchers, academics, policy makers, and innovators met to discuss at the recent SAP research round table on the Future of Work at the SAP Innovation Center in Potsdam, Germany.

China is working to update the rugged old computer systems on nuclear submarines with artificial intelligence to enhance the potential thinking skills of commanding officers, a senior scientist involved with the programme told the South China Morning Post. A submarine with AI-augmented brainpower not only would give China's large navy an upper hand in battle under the world's oceans but would push applications of AI technology to a new level, according to the researcher, who spoke on condition of anonymity because of the project's sensitivity. "Though a submarine has enormous power of destruction, its brain is actually quite small," the researcher said. While a nuclear submarine depends on the skill, experience and efficiency of its crew to operate effectively, the demands of modern warfare could introduce variables that would cause even the smoothest-run operation to come unglued. For instance, if the 100 to 300 people in the sub's crew were forced to remain together in their canister in deep, dark water for months, the rising stress level could affect the commanding officers' decision-making powers, even leading to bad judgment.