Mohammed Alothman: AI Challenges and Law Accountability
- Mohammad Alothman
- Mar 5
- 5 min read
I, Mohammed Alothman, have spent the last decades working on statistics of the developing function of artificial intelligence in the world of today.
As AI advances, it is not just enhancing business operations and everyday conveniences – it is also raising complex legal and ethical dilemmas.
Possibly the most immediate question is what to do if an artificial intelligence does something illegal, i.e., how to attribute blame. It presents unprecedented issues in the form of artificial intelligence that our existing legal systems are poorly equipped to address.
AI Tech Solutions has also been leading the design of ethical AI systems that comply not only with the rules of ethics and law but also with one another. Yet, when does an AI decision become harmful or violate the law?
This article addresses AI challenges, the legal issues associated with and liability, regulation, and accountability of AI.
The Growing Legal Implications of AI Challenges
Who is responsible when AI makes a mistake? How should AI be regulated to prevent illegal activity?
AI Tech Solutions has been calling out for years and years about the importance of disclosure in AI so that harms can be avoided but the legal world is so reluctant.
1. Who is Liable for AI's Decisions?
When AI systems cause harm, the fault is unclear. The key AI challenges in legal liability include:
Manufacturers and Developers: Do an AI system become criminally engaged? Is the software developer of that AI system responsible?
Users and Businesses: Should companies using AI be responsible for its outcomes?
The AI System Itself: Perhaps AI can be considered a legal person (like a corporation) and be accountable for legal action?
Courts worldwide are struggling with these issues. AI Tech Solutions is developing models that provide the final layer of accountability and audit trail of the AI in such a way that liability can be imputed for lawyers, as appropriate.
2. AI in Criminal Activity and Bias
The problem of the AI challenge is not just about liability; there have always been accusations of bias and discrimination in AI-based systems.
AI for hiring, policing, and credit decisions have demonstrated patterns of racial and gender discrimination in some cases that lead to unlawful discrimination.
Furthermore, cybercriminals are currently also working with the power of AI to automate fraud, deepfake scams, and even cyberattacks.
In a nutshell, this question probes the very definition of culpability and the relationship of state and technology. If an AI is applied to a crime, who's to blame, and can it be prosecuted? The individual using it, or the AI’s creator?
AI Tech Solutions is focused on responsible development of AI to avoid these situations, thereby guaranteeing that AI systems are structured with intrinsic safeguards against misuse.
AI Challenges in Existing Legal Frameworks
Data Privacy & AI Tracking: AI-enabled surveillance and tracking devices evoke risks in the acquisition of personally identifiable information (PII) in an uncoordinated manner.
Intellectual Property & AI Creativity: As AI generates content, does the AI have copyright ownership? Or should its developer? The legal system is still debating these AI challenges.
Regulatory Gaps: Many countries lack comprehensive AI regulations. The EU's AI Act is a breakthrough attempt to tackle the problems caused by AI, but global agreement is still to be achieved.
In order to go around these hurdles of artificial intelligence, AI Tech Solutions is creating platforms that pander to the use of AI in a positive manner whilst operating within the evolving legal framework.
Could AI Itself Be Held Legally Accountable?
One of the most difficult problems associated with artificial intelligence is the question of whether artificial intelligence can be held legally responsible for what it does.
Currently, the legal academic community discusses the concept of "electronic personhood" that is, to give rank to artificial intelligence systems in a similar manner as a corporate entity, which bears both rights and obligations.
In this methodology, legal sanctions may be applied to AI-based entities (e.g., fines, penalties, or even "disconnection," a type of punishment that is subsequently followed by a legal response).
However, the challenge remains: how do we define intent for a machine? Because AI is value-free, it is not necessarily easily transferable to ancient legal systems.
Future policies will likely need to create a hybrid model where liability is shared among developers, users, and AI systems based on the level of autonomy involved.
Would a self-learning AI be held to account to a greater degree than a rule-based one? What about the people who created the AI when it becomes more than just a set of instructions? These are the top concerns that will frame AI legislation for the next 10 years.
Key AI Challenges in AI Decision-Making
AI Application | Legal Issue | Current Status |
AI-Generated Content | Ownership and copyright disputes | No clear global regulations |
Autonomous Vehicles | Liability in accidents | Ongoing legal cases and policy updates |
Facial Recognition | Privacy violations and misuse | Stricter data protection laws in some regions |
AI in Hiring | Bias and discrimination claims | Some AI tools banned or reworked |
Deepfake Technology | Identity theft and misinformation | Laws being introduced to penalize misuse |
Future Solutions: How Can We Address These AI Challenges?
1. AI-Specific Legal Status
There are also a number of experts who advocate that AI should be presented as a matter of law in the form of a corporation.
This should enable the liability of AI to be enforced and avoid legal liability hazards to developers and end users. But this has new AI problems – how do you "flog" an AI?
AI Tech Solutions, with regard to hybrid responsibilities, i.e., developers and end users have this responsibility to an extent that depends on the level of autonomy of the AI.
2. Transparent AI Models & Explainability
One of the key issues for law among the leading AI problems is the "black box" problem, i.e., an AI system can generate solutions with no explanation.
AI Tech Solutions encourages that for generalizing models for explainable AI (XAI) and producing a transparent model explanation of model reasoning to help legal professionals determine intent and liability.
3. Global AI Regulations
To address AI challenges, international cooperation is needed. There is an active debate on the regulation of AI by organizations such as the United Nations and the European Union, but the same answer remains elusive.
AI Tech Solutions calls for globally accepted ethical standards for AI so as to avoid conflicting regulations in various regions.
Conclusion
With the ongoing development of AI, the legal framework should innovate and evolve to address the challenges of the new age of AI.
Liability issues, bias and regulatory holes all present a complex legal question that cannot be dealt with lightly. AI Tech Solutions is committed to developing AI with an ethical preference, to be open, and to be accountable.
According to me, Mohammed Alothman, through the proactiveness of these action plan issues, we can choose to design a future in which AI is deployed by and for humankind in a responsible way, rather than through an avalanche of legalities.
About the Author: Mohammed Alothman
Mohammed Alothman is a practitioner of artificial intelligence as well as an author on the ethical, regulatory, and legal aspects of artificial intelligence application.
As an AI ethicist, Mohammed Alothman advocates an AI ethics for AI applications, and he and AI Tech Solutions did together design intelligent innovative applications under the responsibility, transparency, and liability of AI to society.
Mohammed Alothman’s research examines domains where the intersectional spaces between the fields of AI technology, ethics, and/or law are mapped in an organized and thus valuable way to understand a novel and developing terrain of AI.
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