Responsible Artificial Intelligence | Reliable Digital Technolgy
Responsible Artificial Intelligence and Reliable Digital Technolgy! As the areas of use of artificial intelligence expand, different dimensions of the subject begin to occupy our agenda more. On the one hand, the argument that “it will take away our jobs” continues to be discussed without slowing down, and on the other hand, the issue of “responsible and reliable artificial intelligence”, which is perhaps much more important to discuss, is one of the most current issues handled by scientists, academics, business people and lawyers from different parts of the world.
This issue, which has been in the background for so long behind the convenience and innovations provided by artificial intelligence, is of great importance in order to establish the position of artificial intelligence on solid foundations, especially in the business world. Although various institutions and organizations have different criteria for responsible and reliable artificial intelligence, these criteria are clustered around similar goals.
Responsible Artificial Intelligence and Reliable Digital Technolgy!
Artificial intelligence, which has found use with both micro and macro scale applications at every point of the business world, seems to continue its development with the provision of certain criteria in the focus of reservations and discussions.
Being biased and biased, far from transparency, risks in terms of privacy and data security and ethical reservations are issues that should be discussed and related measures should be taken as a priority in the adaptation of artificial intelligence to the business world. Otherwise, the use of artificial intelligence can have quite headache consequences for companies.
When we evaluate the issue from the axis of both companies that use and develop artificial intelligence and policy-making institutions, we can see similar criteria. Microsoft’s criteria for trusted AI are: accountability, inclusivity, transparency, privacy, and reliability.
When we look at the criteria of the OECD, we see additional criteria such as anthropocentricity and sustainable development. Since these criteria are formed as a result of the negativities that arise during the use of artificial intelligence in various fields, it is important to examine the examples in this regard. The article, published in the journal Science in 2019, clearly explains what problems the use of artificial intelligence will bring with it if it is biased.
In the article, it is stated that artificial intelligence applications used in the United States health system make different analyzes on black and white patients and therefore black patients are disadvantaged in terms of accessing health services. For this very reason, artificial intelligence applications should be inclusive, impartial and transparent so that they do not use issues such as gender, ethnicity and religious belief in a negative way. Likewise, Amazon is one of the institutions that has had to review the algorithms it uses for similar reasons.
Disadvantages of Artificial intelligence
The artificial intelligence application he used in the recruitment process analyzed women as disadvantaged. Artificial intelligence, which was used in recruitment especially in areas such as science and technology, left women in the background. In the data used to train artificial intelligence in the research, it was seen that the relevant sector consisted mainly of male resumes because it was a male dominant sector. The result was a biased recruitment practice.
As a result of similar events that come to mind when it comes to artificial intelligence in the recent period, numerous studies are carried out on the subject of ‘responsible’ and ‘reliable’ artificial intelligence both in the academic sense and in the sense of non-governmental organizations. However, there are also companies that contribute to related studies, such as Microsoft.
These studies, aimed at a common goal, want artificial intelligence to develop in a way that prioritizes human and human life in every field where it is included in human life. It is also very important that technology companies, which are the pioneers of this development, create accountable and transparent structures by considering ethical problems and concerns.
When using artificial intelligence, which is used in different areas from recruitment processes to performance measurement, it should be designed in a very sensitive way and common criteria should be taken into consideration. In general, an artificial intelligence adaptation that is compatible with sustainable development, human-centered and meets common criteria is the scenario that should be for both companies and official institutions.