AI ethics is a system of moral principles and techniques designed to guide the development and responsible use of artificial intelligence (AI). As AI is increasingly incorporated into critical aspects of society, it is becoming more vulnerable to attacks. To protect against these threats, companies must ensure that their data remains secure when outsourcing to AI. AI is a broad term that generally refers to computer systems capable of performing complex tasks that would normally be done by humans.
Machine learning algorithms are often used in AI systems, as they have proven to be more successful than other methods. The National Strategic Plan for Artificial Intelligence Research and Development requires open data exchange between agencies, making them vulnerable to a new type of attack called “artificial intelligence attack”.In response, countries have been developing and deploying anti-corruption tools based on AI in the hope that they will have positive capabilities. The Conceptual Framework for Evaluating Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) and its key components provide guidance for stakeholders when making ethical decisions about the use of AI. Companies are also offering AI as a service through public APIs. An AI code of ethics, also known as an AI value platform, is a policy statement that formally defines the role of AI in the advancement of humanity.
This code should be followed to protect against attacks and vulnerabilities that affect both AI and machine learning systems. The Department of Defense has made the integration of AI and machine learning in the military a priority with the creation of the Joint Center for Artificial Intelligence (JAIC).To ensure data integrity when outsourcing to AI, companies should take several steps. First, they should create an AI code of ethics that outlines their values and expectations for using AI responsibly. This code should include guidelines on how to use AI ethically and responsibly, as well as how to protect against potential attacks or vulnerabilities.
Companies should also develop a comprehensive security plan that includes measures such as encryption, authentication, and access control. Finally, they should regularly monitor their systems for any suspicious activity or breaches. By following these steps, companies can ensure that their data remains secure when outsourcing to AI. This will help protect against attacks and vulnerabilities while allowing them to take advantage of the many benefits offered by artificial intelligence. Companies should also consider investing in additional security measures such as multi-factor authentication or biometric authentication to further protect their data.
