Algorithmic transparency in the GDPR

Abstract: Now AI is being used nearly in everything we have. Ranging from hand-wrest watches to household systems used inside houses. According to a report by McKinsey and Co, Artificial Intelligence (AI) is expected to have a significant impact on the economy in the coming years, with the potential to add trillions of dollars annually to the global economy. Furthermore, advances in algorithms and data collection have made AI stronger and more useful in practice. The main challenges for AI are the fear of various possibilities to provide biases in a biased decision without the ability to interpret the decision. This is exacerbated by the presence of the black box dilemma and not being able to justify the output of the system. A main component of AI is using a substantial amount of data that is used as input for the system to process. The Systems are created so they can be intelligent as possible, and as a result, the system will learn from the data used, and provide outputs automatically without being asked to do so. Hence, the processing of the personal data used in the system must be regulated so we can trust that systems are working in favor of humanity. This urged the EU to attempt to regulate the processing of personal data and released the data protection directive 20 years ago. This directive evolved into the current General data protection regulation “GDPR”. Aiming at fostering trust between data subjects and the automated decision-making systems, The GDPR stipulated transparency as a general principle for the processing of personal data. This paper will examine in the beginning what is AI, how it is being used, how it falls under the scope of the regulation, and finally what is meant by transparency in the context of the GDPR, and the regulation makes obligations to serve its achieving.