Ai Technology Good Or Bad – Congrature to the user clicking or access to the user agreement, Privacy Policy and Cooking Policy.
Open only the “preparatory structure” before the 20224. This structure is proposing to reconsider the decisions of the Director of Samman and the leader team. This is a task at the same time called “beta” and in response to the events of November 2023, which is due to the return of “A.I.in”. The frame serves as a commitment to the Enenaena and safe practice.
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The original AI of this structure is appointed to assess the potential risks related to AI technology. These new points are updated regularly with new information if the south is very dangerous reforms. Maintains that about the actual data, not only the estimates.
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In addition, special teams were established to monitor different aspects. The group focuses on technical aspects to ensure safety, while prescribed by a consultative group, and recommendations. Besides, they plan to test security tests and seek a free test so they can be done in accordance with the right order.
Although the OKA structure is important, it is not only one. In this section of AI series, I intend to offer and discuss this frame. It is necessary to determine the “OK” characteristics.
The term “Ok” includes the entire period of all living in the entire life of the ACT System from the purchase of information and modeling development, and finally monitoring the development and final development.
Let us start in identifying normal features, except for aspects of performance, such as accuracy and accuracy that are related to more activities and are discussed over the years.
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Reporting
This is a discussion issue, but there are many universal human values such as honesty, respect, respect, and justice around the world. While specific to these values and interpretation may be different from one culture to another, the main principles are mainly appropriate.
The practical example of accepting AI models will be considered in social media such as Twitter and Facebook. These platforms models to determine and divide the materials that violate their society, such as language, reasonable violence, graphical or incorrect violence. However, these systems are not unique and sometimes indicate an error or bias.
In these cases, the platform must be constantly changing and developing the content of its content and reaction from human intermediaries, user conclusions and audit conclusions.
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Transparency and clarity: make a good AI systems and describe their decisions. For example, credit confirmation can provide or denies borrowers to confirm or reject credit.
Iteming designed for ai model has to repeat the model’s results using the same or equivalent code, the encrypting code and configuration.
Suppose a group of researchers is developing a group of researchers, which 95% received the model set of model and model architecture
If one group of researchers are interested in one of the problems then re-put on the same results of the same results with the same model and the same method, it is fertile.
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AI descendant: ok, ai is designed for fair and free to be fair and the treatment of all persons is equal. As an example, specific specific technique when responsibility does not demonstrate the responsibility of racial or gender capabilities in your identity.
Referring to justice is one of the most difficult aspects because AI systems learn from major versions of data; If these data contains a biased, another algorithm can repeat them again.
Ability and safety: Strengthen the error of execution, incorrect item or system ability or system to combat unknown data. Strength is usually an important factor that is focused on the implementation of AI systems. A strong deficiency can also be due to unexpected or harmful behavior by the system, it may be reduced and repeated.
AI models interfere with unfavorable attacks that hit the most harmful document to cheat or pass the models, the performance of models. AI models should protect the protection of the model protection, such as data that this typical, stealing and a reverse engineering, the importance of their opposition. To solve this problem, it requires negative strategies and a wide understanding of the technique.
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A valuable source of atlas mater is a mate (filling an improper risk of artificial environments.
The university security security analyzes the most popular deficiencies associated with ten car studies. In part 3 this series, I intend to drove into negative attacks into negative attacks.
Privacy: Protection of privacy on the prevention of all unauthorized people are from using information that may be determined by a person or a house directly or indirectly.
Information used by ai model can cover a wide range of individual information, including the names, gender, image images, etc..
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The last guide in ethical fields reports that privacy is a major concern. Government agencies have a lot of rules for control and are more provisions most of the most common security security security (GDPR) security.
On 2023, US trade department, the opening of the risk management risk was released by additional matches with the National Institute of Standards and Technology (NIT).
NIR AI RMF AI emphasizes the importance of risk management in the structure of rational management of organizational enterprises in the organization. Ai RMF is the importance of taking into account specific factors for the priority of risks and aggressions of a thought. In addition, it emphasizes the need to identify download risks such as the information related to the requirements of the privacy and environmental impact. In the framework of organizations, encouraging active measures to establish clear roles and liabilities to increase risk management.
However, it should be noted that one of the main criticists of the RMF is the nature of the surface. Determining the risks of the formation of risk should be subjective and guidance based on the fact that organizations can reduce these risks. This restriction is still difficult to be still difficult to relieve the risks, which will make it difficult to identify the risk. goes.
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On June 7, 2023, the EU on Cyberscite Cyberchit (ENISA) reported the “Multiamace Framework” to answer the problems of the Cyberi’s intellectual security At all stages of AI, retirement from its construction.
Create KHERer’s Security: This layer to the main measures of necessary labor safety for technological infrastructure of the system of ai. It is monitoring the laws of the European Union, including the laws of the European Union, including information and cyber. Companies from ai must be a dynamic security process, including risk analysis and management. Special Cybernic Security: This layer is related to the safety requirements of AI-Wo to all industry. This is the importance of the law relating to a monstery, such as the statistics of the Xia Xiath. Ethical ideas, such as transparency and justice should guide this assessment. Security of specific cyberside for AI: This layer has specific recommendations in the energy sector, road sectors, telecommunications and health, which are already qualified.
As governments and regulators, the safety and responsible framework, good judgment of the ARIGHTS should do these rules to ensure that the work.
Attempts can be advanced for the progress of ethical rules for the development of in. Moral-law structures can actively support this form and support of the world’s leader.
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The AIDS system will be held again to justice and check carefully. More organizations can take ethical committees to see development and use А. D. Different aspects of daily lives about its impact on the effect and what is the answer is the answer that is complex and the best.
1. Increase the efficiency and productivity: A.I. One of the most endless benefits. There is improvement of efficiency and productivity in the community sectors. A.I.I. – Operating Automation analyzed various processes from production and logistics to data analysis. This is not only expenses but also the opportunity to focus on creative and complex, innovation and economic development.
2. Health Revolution: Health Sector A.M. Development. Deterguilding diseases, perspectives and personal treatment plans becomes more accurate and more efficient and more effective that the analysis of large amount of medical data has become clearly and effectively. it
