The Challenges of Artificial Intelligence (AI) for Organisations

Governments, businesses and societies as a whole benefit enormously from Artificial Intelligence (AI).

AI assists organisations in reducing operational costs, boosting user experience, elevating efficiency and cultivating revenue. But it also creates a number of security challenges for personal data and forms many ethical dilemmas for organisations. Such challenges for information security professionals mean re-calibration of approaches to data security, data classification and privacy. For regulators, this is translated to the General Data Protection Regulation (GDPR).

AI’s lifeline is data, and one source of data is the Internet of Things (IoT), which feeds by personal data. Henceforth it is apparent that the use of AI has implications for privacy, data protection and the rights of individuals. Such rights are strengthened by GDPR and its stricter rules that apply to the collection and use of personal data. In addition to being transparent, organisations will need to be more accountable for what they do with personally identifiable information.

This article will discuss some challenges of AI such as ethical, cyber security and privacy issues that have arisen from the upsurge of AI.

What is Artificial Intelligence and its capabilities?

For some people, the term “AI” conjures up remembrances of scenes from science fiction movies such as Terminator. However, AI has more to offer than robots.

AI has been learnt and studied for decades and is still one of the most abstract subjects in computer science. One of the fathers of AI, John McCarthy defines the objectives of artificial intelligence as developing machines that behave intelligently by learning from experience and implementing tasks like human. The capabilities of AI increased greatly due to the massive expansion of the volumes of data and technologies’ data storage capabilities, steady increase of computing power, and most importantly the advancement research machine learning algorithms.

However, (Read more...)