Abstract: The aspects of determining the list of traditional and "non-traditional" expert examinations, normative fixation of the lists of forensic examinations, training of personnel with appropriate qualifications, familiarization of investigators, inquirers and judges with new expert areas are subjected to a detailed study. The author also focuses separately on the justification of the possibility of recognizing as a non-traditional research of keyboard handwriting expertise and its introduction into the practice of detection and investigation of computer crimes. The author concludes that it is necessary to comprehensively resolve all the problems discussed. It is proposed: to develop a unified approach to determining the criteria of non-traditional forensic investigations; to approve a unified list of traditional expert areas for all departments; to strengthen the scientific development of new potential genera and types of forensic examinations; to organize on the basis of state universities courses of additional education in new forensic areas; to educate the subjects of forensic activity in the part of non-traditional forensic experts. In contrast to previous works on this topic, the present study proposes criteria that can be used to distinguish between traditional and non-traditional forensic activities, as well as to distinguish them from parascientific knowledge; proposes a systemic algorithm for solving all the identified problems and project modeling of this algorithm on the phenomenon of keyboard handwriting, insufficiently researched in the legal sphere, the research of which can become an effective mechanism for increasing the efficiency of forensic activities; and proposes a systemic algorithm for solving all the identified problems and project modeling of this algorithm on the phenomenon of keystroke dynamics, the research of which can become an effective mechanism for increasing the efficiency of forensic activities.

Abstract: The paper examines the issues of intuition in investigative practice. Relying on the positions of prominent forensic scientists, the importance of this heuristic mechanism for overcoming deadlocks caused not only by a shortage of information, but also by its overabundance is substantiated. The author suggests mechanisms for the development of intuition, the main of which is called the expansion of erudition, the accumulation of a large number of background knowledge.
The second part of the article discusses the problems of artificial intelligence. Firstly, the topic of its potential to replace a person is covered. Secondly, the position existing in science is refuted, according to which the work of artificial neural networks is characterized as intuitive.
  Based on the analysis of practical examples and the synthesis of various scientific positions, the author formulated the following conclusions:
1. The intuitive decisions based on the probabilistic assumption assist the investigator in choosing specific investigative actions or tactics for their conduct.
2. Intuition is best developed among investigators with average work experience and broad erudition.
3. Intuition can and should be developed, mainly by expanding erudition, accumulating background experience.
4. The work of artificial neural networks cannot be called completely intuitive, since they act according to a given algorithm, even if generating a solution that is not accessible to human perception, whereas intuition is a creative process that goes beyond standard models.
5. To date, there is only a weak artificial intelligence, which is able to cover only situations of an overabundance of information, but not its deficit, although the latter very often require an appeal to intuition.
6. Intuition is a competitive advantage of humans over artificial intelligence, allowing our species to think more broadly, more versatile.