Responsible AI in security

SMART Surveillance 2024 AI & Data Analytics

The application of AI technology in any business requires the implementation of responsible AI principles within the organisation. Leaders in AI technology are increasingly recognising the need for responsible AI as legislation has increasingly pushed for its integration into existing systems.

In video surveillance, this means the ethical and accountable use of AI to prevent bias and uphold the privacy rights of the average Joe.

What are the common principles of responsible AI?

1. Fairness and equity: This principle ensures that AI-based applications and systems do not discriminate against any group or individual based on factors such as gender, race, sexual orientation, or religion.

2. Social ethics: AI-based services and their applications should always respect human dignity and values and be designed to benefit diverse ranges of human populations.

3. Accountability and responsibility: When developing AI-based applications, it is imperative that the developers should identify various roles and stakeholders who are accountable and provide oversight at different stages of developing AI projects.

4. Interpretability and explainability: AI-based decisions and actions should be explainable to all relevant stakeholders. Having interpretable and explainable AI will promote trust and drive informed decisions within businesses.

5. Reliability and safety: AI-based applications should be built and tested for safety. They should be reliable, repeatable and operate in a safe manner to ensure the risk of errors or harm is minimised.

6. Privacy and security: AI-based applications should ensure that the gathering or use of information respects privacy and security of humanity. It should comply with regulations and avoid gathering or using information for surveillance that violates internationally accepted norms.

Why are these principles important?

Responsible AI in video surveillance has become an important topic due to the potential ethical and legal implications of making use of the technology. A study by The Economist Intelligence Unity (EIU) highlighted that over 75% of the respondents in this executive survey were aware of the need for responsible AI. It is important to balance the very real benefits of using AI in video surveillance with ethical and legal considerations internationally.

How can the use of responsible AI benefit the security industry?

AI improves the speed and accuracy of threat detection and response, which reduces crime overall. It also frees up security agents to respond to real threats instead of security agents taking longer to get from false alarm callouts to real threat callouts. Ensuring that responsible AI practices are used, there are several business benefits that come into play. Among these are reduced bias, enhanced transparency as well as better security. Responsible AI systems are designed with fairness, transparency and reduced bias in mind. This is so that the environment created is more equitable and inclusive as machine-learning models can be used to identify and address human biases and barriers.

Using ethical and transparent AI systems that customers understand will help organisations build trust with their customers, partners, and regulator, while reducing the risk of legal or reputational harm. It can also help avoid legal issues and foster trust and confidence in their AI systems, ensuring that they are used securely and responsibly.

Responsible AI usage ensures that AI is not harmful to any individual or society as a whole. This also includes protecting AI systems from cyberattacks to ensure data privacy and producing trustworthy information so that the service can be delivered in a way that does not compromise privacy or safety of the public in any way. By focusing on better safety and security, organisations can prevent unauthorised access to sensitive information as well as maintain the integrity of their AI systems.

By implementing responsible AI practices within their business model and culture, organisations can ensure that unintended bias is avoided, that AI use is transparent, and that the privacy and security of their customers’ data is upheld.

In conclusion, the benefits of using AI in the security industry are substantial, and organisations that implement responsible AI practices are likely to gain a competitive advantage in the market. As AI capabilities continue to grow and advance, it is absolutely crucial that companies implement responsible AI practices and ensure that they are equipped to handle the challenges as well as opportunities that come with this technology.

For more information, contact DeepAlert, +27 82 465 9590, [email protected],


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