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Cave, S. Article Google Scholar. Murphy, M. The New York Times 2 April Telotte, J. Hermann, I. Text Matters 8 , — Robbins, M. Artificial intelligence: gods, egos and ex machina. The Guardian 25 February Rose, S. The Guardian 6 October The whiteness of AI. Download references. You can also search for this author in PubMed Google Scholar. Correspondence to Isabella Hermann. Reprints and Permissions. The need for distance learning became more important because of the Covid pandemic.

AI can also make workplace safer as robots can be used for dangerous parts of jobs, and open new job positions as AI-driven industries grow and change. For businesses , AI can enable the development of a new generation of products and services, including in sectors where European companies already have strong positions: green and circular economy, machinery, farming, healthcare, fashion, tourism.

It can boost sales, improve machine maintenance, increase production output and quality, improve customer service, as well as save energy. AI used in public services can reduce costs and offer new possibilities in public transport, education, energy and waste management and could also improve the sustainability of products.

Democracy could be made stronger by using data-based scrutiny, preventing disinformation and cyber attacks and ensuring access to quality information. AI could also support diversity and openness, for example by mitigating the possibility of prejudice in hiring decisions and using analytical data instead. AI is predicted to be used more in crime prevention and the criminal justice system , as massive data sets could be processed faster, prisoner flight risks assessed more accurately, crime or even terrorist attacks predicted and prevented.

It is already used by online platforms to detect and react to unlawful and inappropriate online behaviour. In military matters , AI could be used for defence and attack strategies in hacking and phishing or to target key systems in cyberwarfare. Underuse of AI is considered as a major threat: missed opportunities for the EU could mean poor implementation of major programmes, such as the EU Green Deal, losing competitive advantage towards other parts of the world, economic stagnation and poorer possibilities for people.

Underuse could derive from public and business' mistrust in AI, poor infrastructure, lack of initiative, low investments, or, since AI's machine learning is dependent on data, from fragmented digital markets.

Overuse can also be problematic: investing in AI applications that prove not to be useful or applying AI to tasks for which it is not suited, for example using it to explain complex societal issues.

An important challenge is to determine who is responsible for damage caused by an AI-operated device or service: in an accident involving a self-driving car.

Should the damage be covered by the owner, the car manufacturer or the programmer? The results that AI produces depend on how it is designed and what data it uses. Both design and data can be intentionally or unintentionally biased. For example, some important aspects of an issue might not be programmed into the algorithm or might be programmed to reflect and replicate structural biases.

This is sometimes referred to as mathwashing. If not done properly, AI could lead to decisions influenced by data on ethnicity, sex, age when hiring or firing, offering loans, or even in criminal proceedings.

AI could severely affect the right to privacy and data protection. It can be for example used in face recognition equipment or for online tracking and profiling of individuals. In addition, AI enables merging pieces of information a person has given into new data, which can lead to results the person would not expect. It can also present a threat to democracy; AI has already been blamed for creating online echo chambers based on a person's previous online behaviour, displaying only content a person would like, instead of creating an environment for pluralistic, equally accessible and inclusive public debate.

It can even be used to create extremely realistic fake video, audio and images, known as deepfakes, which can present financial risks, harm reputation, and challenge decision making. All of this could lead to separation and polarisation in the public sphere and manipulate elections. The main attractive feature of the Golog language is the Robots can solve many different practical problems. Despite the fact that when using the entertainment are the main areas of application of robots.

Golog language you have to comply with strict requirements full observability, discrete states, full model , this language 3. Social Cognitive Smart Robots has created high-level controls for a number of mobile robots Social robot software is created in programming designed for indoor applications. This language is a rule-based real-time control extension in which probabilistic and learning tools are language that compiles AFSM controllers.

Separate rules of combined. CES data types include probability distributions, this language, defined using syntax similar to Lisp, are which allows the programmer to make calculations using compiled into AFSM machines, and AFSM machine groups undefined information without spending the effort that is are combined using a set of mechanisms for transmitting usually associated with implementing probabilistic methods.

GRL is a functional programming learning, much like what is done in learning algorithms. The language for creating large modular control systems. As in CES language allows programmers to leave "gaps" in the the language of behavior, in GRL, state machines are used as code, which are filled with training functions; typically such the main building blocks.

But as a setting over these gaps are differentiable parametric representations such as machines, the GRL language offers a much wider list of neural networks. In the future, inductive learning takes place designs for determining communication flow and using these functions at certain stages of the training, for synchronizing constraints between different modules than the which the teacher must set the required output behavior. The RAPS system allows The ALisp language allows programmers to specify non- programmers to set goals, plans related to these goals or deterministic selections similar to Golog selections.

But in partially define a policy , as well as set the conditions under the ALisp language, for decision making, it is not the which these plans are likely to be successfully implemented. Therefore, the ALisp The programmer can specify procedures for detecting language can be considered as a convenient way to failures of different types and provide an exception procedure incorporate knowledge of a problem area into a training for each type of failure.

In three-tier architectures, RAPS is procedure with reinforcement, especially knowledge of the often used at the execution level, allowing you to hierarchical structure of the "procedures" of the desired successfully cope with unforeseen situations that do not behavior. Until now, the ALisp language has been used to require rescheduling. It can be There are also several other languages that allow the use of used to program robots with imitative thinking and adaptive reasoning and learning tools in robots.

For example, Golog is behavior, capable of learning when interacting with the a programming language that allows for the immaculate environment. Hierarchical algorithms Golog programs are formulated in terms of situational of behavior actions are divided into agglomerative and calculation, taking into account the additional possibility of divisional.

Agglomerative algorithms begin their execution using operators of non-deterministic actions. In addition to with the fact that each action is entered into the corresponding the specification of the control program with the capabilities cluster and clusters are combined as they are performed, until of non-deterministic actions, the programmer must also at the end there is one cluster that includes all actions of provide a complete model of the robot and its environment.

A representation of the the RAM segments by the program modules. Common variables have divided actions into clusters. This approach allows you to formalize the requirements Streams of common data values are organized by the for mobility of robot behavior and develop all possible sequence of transfer addresses and delivered to the place of algorithms for responding to changes in the state of the use in modules on operational segments.

The modules are environment. For example, when moving on the street, using accessed by their numbers. For external memory modules, satellite navigation technology, and surrounding objects, the values of the common variables are transferred to the detecting using cameras or rangefinders.

That is, the resident shared data module when the module containing the approach allows autonomous robotic systems to be designed common data is replaced. A control processor with artificial intelligence organizes Cognitive robots with imitative thinking and adaptive the processing, movement of common data, analysis of behavior have the prospect of widespread practical connections and determination of current modules by application as smart robots of lecturers and consultants in program.

It combines the operation of devices on one module educational activities, in the social sphere. Smart robots become independent objects of the social The number of operational segments for continuous environment.

Social cognitive smart robots are used as a processing of a program with deterministic-related modules hotel administrator, guide, salesman, lecturer, vacuum is determined during its translation or compilation. The RAM segments are switched with the processors in series, corresponding to the processing sequence of the 3. Human-Robot Communication via Neurointerface modules located on them. This allows you to minimize the Neurointerfaces are used for dialogue and control with switching of processors with RAM, switching sequentially communicative associative robots using high-tech wireless proactively dynamically processors from operational segments.

The most suitable technology for implementing the through the program modules in the RAM. For each value of wireless neurointerface is the Bluetooth Low Energy wireless the common given d, the sequence and efficiency of the data technology, best known by its abbreviation BLE. A modules using it, the places of their use in these modules and special advantage of the technology is its prevalence on a huge the relative usage of the d values in the modules are number of devices, primarily devices with autonomous power determined.

Over a plurality of usage modules d, an supply, i. Mental communication with additional plurality of modules are inserted, through which the communicative associative robot is carried out through its the values of this d move. The values of the common data are moved through the Human communication with the robot through the modules that are inflated on the segments of the RAM, neurointerface opens up new effective ways of organizing dynamically, forming a data stream.

In the shared data resident module, values are stored together with movement pointers. The 4. Supercomputer with Artificial values moved to one module are arranged in a row.

At the Intelligence beginning of the follower, their number is indicated. After the new values are written to the common data module, its free The invention proposes a supercomputer architecture with space pointer record is moved if the counter of the common large RAM and artificial intelligence, which provides data module does not exceed the allowed number of values. The Values are supplied with recalculation characteristics. If supercomputer provides continuous processing of large the flag accepts the immutable state, then the value is moved programs and data [23].

The super-computer contains new devices: a processor for The values are placed in the common data module in the analyzing connections between modules of the program, order they are moved to the modules coming from the counters for using memory segments of modules, a processor external memory to the random access memory.

In the for moving modules across virtual memory, a processor for common data module, values can be supplied with multiple moving common data of modules. The analysis processor proactively analyzes the Once all values have been moved to the program module, relationships of program modules with deterministic-related the "moved" flag is set to indicate that the module is ready modules.

The analysis processor implements the process of for processing. Let the first module have variables. For the second module, all variables market.

Educational institutions, in order to know what the that are not in the first module are defined. For each variable, consumer needs, predict demand, conduct competent pricing the numbers of the subsequent dools in which it is used are and the provision of services, as well as their promotion, i. For subsequent modules, the use of variables that conduct a client-oriented project activity. The customer of are not specified in previous modules is defined in the same educational services needs to know as much as possible way.

We define the services, social results from their receipt, and receive sequences of module numbers. The variables will be stored in maximum satisfaction of their needs. Client Project-Oriented Training of and improvement in interaction.

Specialists The formation of demand for educational services and the promotion of information about them require the In the era of rapid technological development in development of an integrated system of market interaction universities, it is advisable to conduct a client design-oriented with business and society, connected with the movement of education [24].

The client design-oriented education allows services, the exchange of information, technologies, universities to effectively form partnerships with business knowledge and experience. For project production targeted project. During training, project competencies are management, a technological competence platform is created mastered. At the next stage, professional skills are acquired for the training of project implementation specialists.

On the technological platform of competencies, students with professional knowledge acquire the necessary professional skills and the ability to work in the project team. They become competent specialists who are ready to participate in the implementation of the project. The university becomes an institution of educational development. Universities form an educational core with a transition to an individual trajectory of education and research.

Students receive knowledge and skills to participate in a specific project. The principle of learning mobility is implemented by filling and changing the educational process in accordance with the requests of the students themselves. The principle of learning mobility makes it possible to Figure 1. Client project-oriented university education. This principle is manifested On the customer's technology platform, trainees acquire through the constant transformation of the functional and professional skills and develop the ability to work in a team.

In the era of rapid change of professions, the client design-oriented education is 6. Conclusion especially relevant. The Within the framework of the client of the project-oriented creation of a humanoid robot is associated with the activity, it is advisable to talk about marketing models, which implementation of a large number of functions and give us an understanding of how to organize activities for the competencies.

The author proposed to realize the functions sale of services, which should be more taken into account in and competencies of a humanoid robot with the help of large communication with consumers and how best to organize ensembles of intelligent agents processing large data on high- these events. Large ensembles of Marketing and client project-oriented activities of a single intellectual agents are configured by self-organization. Strong artificial intelligence with technological singularity can help governments establish life [12] Evgeniy Bryndin.

Collaboration of Intelligent Interoperable models for society, and which increasingly do not lead to the Agents via Smart Interface. International Journal on Data expected results.