Have you ever wondered about the implications resulting from an AI's errors that may lead to security issues? Many individuals trust AI with a number of things, both tangible (money) and intangible (personal information); so, if there is an error in an AI, who do we attribute blame to as to why the errors occurred? So let us now discuss whether or not AIs should be responsible for security failures.
The general public typically attributes security deficiencies to either the company that produced an AI, the development team, or the end user. Not typically do we see individuals attributing security deficiencies to the actual AI.
So why can't an AI be held accountable? One reason is that an AI is not a physical entity capable of appearing in a court; an AI cannot pay fines. Since this is true, is it then reasonable to hold the creator(s), developer(s) and/or user(s) of the AIs entirely accountable? Or should AIs have some responsibility along with their creators, developers, and users?
Artificial intelligence (AI), like a human, is managing a large amount of sensitive information. If AI doesn't provide enough protection around your Personal Identifiable Information (PII), someone must be accountable for that breach. With a set of legal guidelines regulating AI, companies will be incentivized to create more robust and reliable AI systems.
Creating Better AI Systems
If AI creators understand that poor system security poses the risk of potential lawsuits or citizen MLAs, they will be more inclined to thoroughly test and secure the functionality of their AI. Can you imagine if you had an AI giving your bank information with no protection whatsoever? It would be a scary thought. Implementing legal guidelines around AI is one way of minimizing that risk.
Because AI isn't human, it can't be legally fined or punished. It does not have a sense of right and wrong or understand the concept of responsibility. Legal representatives will need to draft new legal parameters on the way in which AI conducts its business. Creating and governing AI will be a challenge for law-makers.
Sharing the Load
There are many reasons for failures of AI systems, and those responsible for developing or using those systems often hold the blame. It can be difficult to determine who has fault or responsibility for an AI failure.
The next time you use an AI application, ask yourself the question: If the product erroneously deleted my files, who would take responsibility? Perhaps it needs to be regulated to ensure that someone has that obligation.
Why care?
AI is present in almost all aspects of our lives meeting the needs of rapid decision-making by managing and protecting sensitive personal data. Yet there are many ways that AIs can and will produce defective results, either by committing an error, a cybersecurity breach.The general public typically attributes security deficiencies to either the company that produced an AI, the development team, or the end user. Not typically do we see individuals attributing security deficiencies to the actual AI.
So why can't an AI be held accountable? One reason is that an AI is not a physical entity capable of appearing in a court; an AI cannot pay fines. Since this is true, is it then reasonable to hold the creator(s), developer(s) and/or user(s) of the AIs entirely accountable? Or should AIs have some responsibility along with their creators, developers, and users?
The Logic Behind Legal Accountability
Safeguarding Individuals and Their InformationArtificial intelligence (AI), like a human, is managing a large amount of sensitive information. If AI doesn't provide enough protection around your Personal Identifiable Information (PII), someone must be accountable for that breach. With a set of legal guidelines regulating AI, companies will be incentivized to create more robust and reliable AI systems.
Creating Better AI Systems
If AI creators understand that poor system security poses the risk of potential lawsuits or citizen MLAs, they will be more inclined to thoroughly test and secure the functionality of their AI. Can you imagine if you had an AI giving your bank information with no protection whatsoever? It would be a scary thought. Implementing legal guidelines around AI is one way of minimizing that risk.
The Constraints
AI Doesn't Have a ConscienceBecause AI isn't human, it can't be legally fined or punished. It does not have a sense of right and wrong or understand the concept of responsibility. Legal representatives will need to draft new legal parameters on the way in which AI conducts its business. Creating and governing AI will be a challenge for law-makers.
Sharing the Load
There are many reasons for failures of AI systems, and those responsible for developing or using those systems often hold the blame. It can be difficult to determine who has fault or responsibility for an AI failure.
Shared Responsibility
The best way to approach accountability of AI systems is to place responsibility on people rather than the system itself. Having strict rules and regulations regarding the secure use of AI us will continue to encourage developers to design safe systems for consumers.Conclusions
Should AI be legally responsible for security failure? No, because it is not a person. The people or companies that create an AI application or system should be held accountable for its security. AI is an extremely powerful tool, and as such, people and organizations must assume a great degree of responsibility for their use — even for their algorithms!The next time you use an AI application, ask yourself the question: If the product erroneously deleted my files, who would take responsibility? Perhaps it needs to be regulated to ensure that someone has that obligation.
