Browse AI risks

11 entries

1. 29.01.01 · Risk Sub-Category

   AI Trust Management

   Bias and Discrimination

   as they claim to generate biased and discriminatory results, these AI systems have a negative impact on the rights of individuals, principles of adjudication, and overall judicial integrity

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 1 1.1 AI Unintentional Post-deployment

2. 29.01.02 · Risk Sub-Category

   AI Trust Management

   Privacy Invasion

   AI systems typically depend on extensive data for effective training and functioning, which can pose a risk to privacy if sensitive data is mishandled or used inappropriately

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 2 2.1 AI Unintentional Post-deployment

3. 29.03.02 · Risk Sub-Category

   AI Security Management

   Insufficient Security Measures

   Malicious entities can take advantage of weaknesses in AI algorithms to alter results, potentially resulting in tangible real-life impacts. Additionally, it’s vital to prioritize safeguarding privacy and handling data responsibly, particularly given AI’s significant data needs. Balancing the extraction of valuable insights with privacy maintenance is a delicate task

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 2 2.2 Human Intentional Post-deployment

4. 29.02.01 · Risk Sub-Category

   AI Risk Management

   Society Manipulation

   manipulation of social dynamics

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 4 4.1 AI Intentional Post-deployment

5. 29.02.02 · Risk Sub-Category

   AI Risk Management

   Deepfake Technology

   AI employed to produce convincing counterfeit visuals, videos, and audio clips that give the impression of authenticity

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 4 4.1 Human Intentional Post-deployment

6. 29.02.03 · Risk Sub-Category

   AI Risk Management

   Lethal Autonomous Weapons Systems (LAWS)

   LAWS are a distinctive category of weapon systems that employ sensor arrays and computer algorithms to detect and attack a target without direct human intervention in the system’s operation

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 4 4.2 AI Intentional Post-deployment

7. 29.03.01 · Risk Sub-Category

   AI Security Management

   Malicious Use of AI

   Malicious utilization of AI has the potential to endanger digital security, physical security, and political security. International law enforcement entities grapple with a variety of risks linked to the Malevolent Utilization of AI.

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Domain 4 4.3 Human Intentional Post-deployment

8. 29.01.00 · Risk Category

   AI Trust Management

   individuals are more persuaded to use and depend on AI systems when they perceive them as reliable

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Not coded Not coded Not coded

9. 29.02.00 · Risk Category

   AI Risk Management

   AI risk involves identifying possible threats and risks associated with AI systems. It encompasses examining the competences, constraints, and possible failure modes of AI technologies.

   From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

   Not coded Not coded Not coded

10. 29.02.03.a · Additional evidence

    AI Risk Management

    Lethal Autonomous Weapons Systems (LAWS)

    —

    From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

11. 29.03.00 · Risk Category

    AI Security Management

    AI security management involves the adoption of practices and measures aimed at protecting AI systems and the data they process from unauthorized ac-cess, breaches, and malicious activities

    From Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, Applications, Challenges and Future Research Directions (Habbal2024)

    Not coded Not coded Not coded

Informational only, not legal advice. Verify every claim against the linked official sources and consult qualified counsel before acting.