In Digital Privacy, Tech Trends•01/08/2024•4 Minutes

Defending Against Deepfakes and GenAI-Based Attacks

A Call to Action for a Secure Digital Future

The rapid development and integration of artificial intelligence (AI) in various sectors, particularly in the public sector, has raised both hopes and concerns. An article from Finanznachrichten.de on November 27, 2024, reports on the swift development and expansion of HEALWELL’s VeroSource Solutions, which are using AI in Canadian public sectors. However, behind this seemingly positive development lies a complex and potentially dangerous reality.

The Threat of Deepfakes

The introduction of AI in the public sector brings significant concerns regarding privacy and data security. According to a study by SAS, nearly 44% of government organizations surveyed are already using generative AI (GenAI), but only slightly more than half (52%) have a policy for using GenAI in the workplace[1].

The primary concerns in the public sector include privacy (78%), data security (77%), and governance (62%). These concerns are valid because AI systems often rely on historical data that may be biased and contain pre-existing social inequalities. This can lead to the exacerbation of existing problems rather than their resolution.

Technologies for Detecting Deepfakes

The deployment of AI in the public sector faces cultural resistance and practical challenges. Nearly half of government organizations fear resistance to AI adoption, and 55% of leaders see problems in effectively using public and proprietary data sets. There are also difficulties in transitioning AI from conceptual to practical application[1].

GenAI-Based Attacks

AI systems collect and process vast amounts of personal data, increasing the risk of comprehensive surveillance and control of the population. This is particularly alarming in the public sector, where privacy and the protection of personal data are of utmost importance. The integration of AI in areas such as law enforcement and social services can further entrench existing discriminations.

Combined Defense Strategies

The regulation of AI systems often lags behind technological developments. The recent EU AI regulation, which will come into effect after a transitional period, provides legal certainty but is also criticized for its restrictive impact on innovation. It is crucial to establish clear guidelines to prevent the negative impacts of AI and ensure that AI is developed and used responsibly and transparently[2].

Economic Imperatives and Ethical Considerations

AI systems often rely on historical data that reflect existing social inequalities and biases. This can create a self-reinforcing cycle where existing problems are not solved but exacerbated. For example, the use of AI in healthcare can lead to marginalized groups being further disadvantaged if the systems are trained on biased data.

A Call to Action

The expansion of AI in the public sector is a trend that must be carefully considered. While the benefits of AI are evident, we must not overlook the potential risks and negative impacts. It is essential to critically examine the development and deployment of AI and ensure that these technologies are used for the benefit of society rather than its detriment.

Source: HEALWELL AI[1], Newsfile Corp.[4]