AI offers numerous benefits across various industries and applications. Some of the most commonly cited benefits include:

• Automation of repetitive tasks.
• More and faster insight from data.
• Enhanced decision-making.
• Fewer human errors.
• 24×7 availability.
• Reduced physical risks.

AI alignment

AI alignment aims to make AI systems behave in line with human intentions and values

AI challenges and risks

Organizations are scrambling to take advantage of the latest AI technologies and capitalize on AI’s many benefits. This rapid adoption is necessary, but adopting and maintaining AI workflows comes with challenges and risks.

Data risks

AI systems rely on data sets that might be vulnerable to data poisoning, data tampering, data bias or cyberattacks that can lead to data breaches. Organizations can mitigate these risks by protecting data integrity and implementing security and availability throughout the entire AI lifecycle, from development to training and deployment and post-deployment.

Model risks

Threat actors (individuals or groups that intentionally cause harm to digital devices or systems.) can target AI models for theft, reverse engineering or unauthorized manipulation. Attackers might compromise a model’s integrity by tampering with its architecture, weights or parameters; the core components that determine a model’s behaviour, accuracy and performance.

Operational risks

Like all technologies, models are susceptible to operational risks such as model drift, bias and breakdowns in the governance structure. Left unaddressed, these risks can lead to system failures and cybersecurity vulnerabilities that threat actors can use.