The newest trend in the field of Artificial Intelligence (AI) is the advancement of deep learning techniques and the emergence of more sophisticated models, such as GPT-3. Deep learning models are becoming increasingly capable of understanding and generating human-like text, images and even videos.
However, along with the advancements in Artificial Intelligence, there are several cybersecurity concerns that arise.
AI models can be vulnerable to adversarial attacks, where malicious actors intentionally manipulate inputs to deceive or mislead AI systems. These attacks can be used to bypass security systems, compromise image recognition algorithms or manipulate decision-making processes.
Data Privacy and Ethics
AI relies on vast amounts of data for training. Concerns arise regarding the privacy and security of sensitive information used to train AI models. It is crucial to handle data responsibly and ensure appropriate safeguards are in place to protect user privacy.
Deepfake technology, powered by AI, allows for the creation of realistic fake videos or audio recordings. This technology can be misused for fraud, disinformation, or impersonation, leading to significant social and political implications.
AI in Cyber-Attacks
Attackers can leverage AI techniques to enhance their capabilities in carrying out cyber-attacks. For example, AI can be used to automate attacks, optimize phishing campaigns, or improve malware detection evasion techniques.
Bias and Fairness
AI systems are trained on data, and if that data contains biases, the AI models can perpetuate and amplify those biases. This can lead to unfair or discriminatory outcomes in various domains, including hiring processes, loan approvals, or criminal justice systems.
Trustworthiness and Explainability
As AI systems become more complex, it becomes crucial to ensure they are transparent, explainable and trustworthy. Users should understand the basis for AI-generated decisions and have confidence in their reliability and safety.
It’s important to note that AI and cybersecurity are rapidly evolving fields. Keeping up with the latest research, industry developments, and expert analysis is crucial to staying informed about the newest trends and addressing emerging cybersecurity challenges in the context of AI.
If you would like to discuss your organisation’s cybersecurity and safe use of Artifical Intelligence, contact us.
Author: Lisa Seltzer, Agilient Consultant