AI As A Statistical Partner: Experts Discuss Its Role At Regional Data And Community Development Forum

At the first Regional Data and Community Development Forum (DCDF) held on 9th-10th October, experts discussed the role of Artificial Intelligence (AI) in shaping the future. Organised by Sharjah’s Department of Statistics and Community Development (DSCD), the event focused on how AI can drive progress. The theme, Driving Change, was explored at the Jawaher Reception and Convention Centre.

During a session titled Statistical Offices in the AI Era: Evolution or Extinction?, participants debated whether AI would replace statistical institutions or foster collaboration. The discussion centred on how statistics are evolving globally with AI's rise. Emphasis was placed on cooperation between data custodians and tech providers to integrate AI effectively across sectors.

Kersti Kaljulaid, former President of Estonia, highlighted AI's impact on statistical offices. "Artificial intelligence has significantly strengthened statistical offices, boosting data accuracy and efficiency while drastically cutting the time needed to gather information across critical sectors, including education," she stated. However, she noted concerns about unethical AI use and stressed responsible usage and data protection.

Fahad Abdullah Al Dossari, President of Saudi Arabia's General Authority for Statistics (GASTAT), underscored data's importance in decision-making. "Accurate data is key to well-informed decisions," he said, advocating for statistical departments in every government entity to improve work quality. He also mentioned regional efforts to unify data methodologies through conferences fostering collaboration.

Alan Smithson from MetaVRse spoke about technology's transformative potential. "With billions of people using electronic devices, advanced algorithms have the potential to make a far greater positive impact," he remarked. Smithson emphasised that while innovations reshape work, AI should complement rather than replace specialised institutions.

Ali Bin Mahboob, former Chair of the United Nations Statistical Commission, warned about personal data misuse by unauthorised entities. "This underscores the urgent need for strict laws to govern data collection and safeguard privacy," he said. Bin Mahboob urged companies to train personnel in statistics to harness AI effectively.

Future Directions for Data and AI

The forum highlighted ongoing regional initiatives aimed at improving data practices through collaboration and innovation. Participants agreed that while technology advances rapidly, human expertise remains crucial in refining statistical methods with AI assistance.

The discussions at DCDF underscored a shared vision where AI serves as a partner rather than a replacement for human expertise. By prioritising ethical practices and continuous learning, organisations can fully leverage AI's potential while safeguarding privacy and enhancing efficiency.

With inputs from WAM