Artificial Intelligence and Cybercrime: Togetherness
Using AI in Crime:
Creating realistic fake videos with deepfake technology
Creating more effective phishing emails in social engineering attacks
Cyber attacks on autonomous vehicles
Using AI algorithms in password cracking attacks
Using AI in Crime Fighting:
Predicting and preventing cyberattacks
Detecting criminals with big data analytics
Analyzing digital evidence and examining crime scenes
Updating legislation on cybercrime
Emerging Legal Challenges
Liability: Who will be held responsible for a crime committed by AI? The developer of the algorithm, the user, or the AI itself?
Privacy: How will AI-based crime detection systems be reconciled with the protection of personal data?
Bias: The risk that AI algorithms may be biased and the implications of this on justice
Evidence: Whether data generated or analyzed by AI can be accepted as evidence in court
International Cooperation: The importance and challenges of cooperation between countries in combating AI and cybercrime
Future Solution Proposals
International Regulations: Establishing international agreements and standards regulating the use of AI
Ethical Principles: Determining and implementing ethical principles in the development and use of AI
Transparency: Making the operation of AI algorithms transparent
Liability Insurance: Mandatory insurance systems to cover damages committed by AI
Education: Organizing continuous education programs for both lawyers and AI experts
