Amman:Information technology experts have emphasized the critical need for Jordan to accelerate the adoption of artificial intelligence (AI) technologies. They advocate moving beyond mere experimentation and awareness, towards practical applications that can deliver measurable benefits to businesses, institutions, and society at large.
According to Jordan News Agency, during the "AI From Adoption to Impact" Forum, organized by the Information and Communications Technology Association of Jordan (Int@j), experts highlighted the significant influence of AI. They noted the importance of addressing its implications, setting appropriate safeguards, and maximizing its potential across various sectors.
Omar Zoubi, Dean of the Faculty of Artificial Intelligence at Al-Balqa Applied University, stressed the need for a comprehensive assessment of AI's impact on individuals, businesses, and government institutions. He underscored the importance of establishing clear legislation and regulatory frameworks to govern the use of AI technologies responsibly. Zoubi also pointed out the need for universities to incorporate AI into curricula and teaching practices across all academic fields to ensure students benefit from these emerging technologies.
Mohammad Alkhudari, CEO of Green Circle for Cybersecurity, discussed the shift in Jordan's approach to AI towards practical applications that can transform business operations. He warned about the cybersecurity challenges accompanying AI expansion, emphasizing that AI adoption and cybersecurity must progress together to build confidence in AI solutions.
Consultant Hamza Akaleek highlighted Jordan's ambition to transition to a digital economy, suggesting that digital transformation could enhance employment opportunities, streamline processes, and contribute to economic growth. Zein Asfour, from ICT Association of Jordan, stressed the need for women's economic empowerment to be embedded in national growth strategies, citing the technology sector as a promising area for women's participation based on skills rather than gender.