The pan-European Personal Pension Product (PEPP) is an innovative solution of the European Parliament and the Council, which is to be a response to the demographic processes taking place in the EU Member States. The creation of a new supranational pension product is intended to contribute to the growth of Europeans' long-term savings and strengthen the EU capital markets. The article assumed by the authors aims to present the most important issues related to PEPP and its implementation into the national legal system, taking into account the regulatory and economic perspectives. The main thesis is the possibility of improving satisfaction with pension products in comparison with the existing product, which is the Individual Retirement Account (IKE). The article consists of 3 parts. The first presents the most important aspects of the Regulation of the European Parliament and the Council No. 2019/1238 of 20/06/2019 on a pan-European Personal Pension Product, Dz.U.UE.L.2019.198.1. Then, the draft act on the pan-European individual pension product was discussed and compared with the functioning act on individual retirement accounts and individual retirement security accounts. The last part of the publication is the results of a pioneering, original study of IKE holders.

The application of artificial intelligence in finance is one of the new issues which, in addition to regulatory challenges of hard law nature, raise ethical questions. This study deals with the subject of ethical aspects of the use of artificial intelligence in the financial sector, which is becoming more and more common, and therefore sometimes "invisible" to the end user. Examples of its use can be found, among others in risk assessment models or systems for detecting fraudulent transactions and counteracting money laundering and terrorist financing. Increasingly, they are also used to assess the creditworthiness of a potential borrower or provide investment advice. In the latter cases, transparency and ethics take on a special meaning, because they directly "touch" the human sphere and can significantly affect the observance of fundamental rights. At the same time, finding the "happy medium" that will not only balance various interests, but also be realistic to implement, is not an easy task. It is often emphasized in the literature that today there is no positive (any?) Effect on the implementation of many postulates in the field of ethical AI (Dubber et al., 2020), in connection with the use of various codes of ethics or good practices, which are more based on the so-called self-regulation or self-governance, that is, self-determination practices that are then audited by the settler. At the same time, the dynamic development of algorithms, especially those that make (to some extent) autonomous decisions, means that supervision — also ethical — cannot be temporary, but should be carried out continuously (Lo Piano, 2020), which only exacerbates the already existing problems related to algorithmisation.

The fourth industrial revolution, Economy 4.0 and Finance 4.0 are facts. Technological changes in the context of finance have resulted in a more active application of artificial intelligence, machine learning and algorithms for product ranges and services aimed at individual clients. Examples of applying AI within the financial sector are automated creditworthiness assessment and financial advice (robo-advice). The article presents these areas from a legal and economic perspective. The wider application of algorithms within the financial sector requires a non-conventional approach by regulators in order not to over-regulate this new and promising segment of the financial services market.

The service of automated financial advice (robo-advice) belongs to financial innovations in the area of retail customer service and is provided by entities from the financial technologies segment. This service usually concerns investment consultancy and involves the use of algorithms and artificial intelligence to collect information from the client and propose a solution corresponding to the client's risk profile. This method of service reduces the costs of consultancy services and minimizes or completely abolishes the minimum investment amount required by the adviser. The homeland of robo-advice is the United States, where the largest market is, but robo-advisers are also present in Europe. The article presents the most important aspects related to the definition, regulations, operating, size of the world and Poland's market and it forecast until 2023. The presented analysis shows that the most likely solution in the future is the hybrid model, in which a traditional financial advisor responsible for shaping customer relations uses robo-advice tools for customer service. The challenge for the regulator and financial supervision will be the introduction of such standards that will ensure the security of economic trading participants, and on the other hand will not be too restrictive and inhibit the development of this innovative segment of the financial services market.