The second group of concerns, which are privacy and abuse not necessarily unrealistic, includes concerns about privacy and potential abuse, the exploitation of vulnerable groups, and deceptive practices for commercial gain. A lack of regulatory guidance also remains a concern, which could potentially compound the other concerns.
There is a ne for special attention to compliance with regulations and ethical codes such as the General Data Protection Regulation (GDPR) and the ethical code of the Neuromarketing Science and Business Association (NMSBA). The use of neuromarketing for social purposes is also present in the literature as a way to increase consumer trust and ruce their concerns. Below we discuss the NMSBA ethical code further.
The NMSBA Code of Ethics
The Neuromarketing Business list of aruba consumer email and Science Association (NMSBA), as the global neuromarketing community, has a Code of Ethics that encompasses several ethical responsibilities. The responsibilities list in this Code of Ethics , from a consumer perspective, primarily relate to transparency, consent, privacy, and prioritizing and protecting participants and consumers. These central themes and the associat actions are shown in the table below.
The EU AI legislation
With technological developments and the growing interest of companies in scalable neuromarketing options, new methods such as AI techniques are emerging. An example of this is prictive eye tracking. Here algorithms prict eye movements and gaze locations of consumers while watching an advertising video, for example.
However, this brings a new set of ethical seasonal marketing campaigns: how to create engaging, selling email content issues into our path. The way databases of real people are collect for the algorithms, the lack of transparency about the AI processes, and the biases that would arise from insufficient data are some of the concerns that may be add by the presence of AI in the process.
In the case of the use of AI in neuromarketing anhui mobile phone number list methods within the EU. It is necessary to follow the European AI legislation. The EU AI legislation has been drawn up bas on the risks that different applications of AI can entail. Therefore, there are some use scenarios that are not allow and other use scenarios that pose a high risk. For the latter, some regulations must be follow.