GRM 2010 GRM 2011

WORKSHOP DETAILS

Title: Artificial Intelligence in the Gulf: Prospects and Challenges

Workshop Directors:
Dr. Elie Azar
Assistant Professor of Engineering
Systems and Management
Masdar Institute
United Arab Emirates

Email: eazar@masdar.ac.ae
        
Mr. Anthony N. Haddad
Senior Manager, Product Management
Middle East Expansions
Amazon.com
United Arab Emirates

Email: ahaddad@amazon.com
        

Artificial Intelligence (AI), one of the hottest trends in modern technology, is projected to be a game changer in the global economy, with a contribution estimated at $15.7 trillion by 2030. In light of such crucial worldwide transformation, the Cooperation Council for the Arab States of the Gulf (GCC) is at a decisive crossroads. There is a critical need for strategies to be developed around AI in various sectors of the economy, both in order to capture this growing economic opportunity and to ensure competitiveness with other states and actors on the global stage. Moreover, and as much as those adoptions are necessary to remain competitive in the midst of the 4th industrial revolution, GCC countries will need to enable a change in paradigm so as to move from being pure adopters of AI to also become developers of the technology. This will require strategic investment in local human capital to research, fund and develop innovations in this space.

 

The goal of this workshop is to explore the current state, opportunities, and challenges related to AI in the GCC. It aims to attract participants from diverse disciplines and sectors such as: engineers, technologists, policymakers, political and social scientists, educators, researchers and innovators, and experts in relevant fields. The resulting exchange of knowledge is integral to a better and clearer understanding of the challenges ahead of Gulf countries in their pursuit of AI.

 

 

Description and Rationale

 

Background

 

Although the term AI has appeared in literature as early as the mid-1950s [1], there still is some confusion with regard to its exact definition and context. The very early developments of AI were driven by the gaming industry, particularly to develop a computer program that can play chess [3]. After around half a century in 1997, a computer program (DEEP BLUE) won in a 6-game match against Grandmaster Gary Kasparov, demonstrating the success of AI and its ability to outperform the human brain at a given task [4].

 

Fast forward two decades, AI has now evolved from being driven by the development of computer games to complicated systems needed during our daily lives. As defined in a recent report by PricewaterhouseCoopers (PwC) [5], “AI is a collective term for computer systems that can sense their environment, think, learn, and take action in response to what they are sensing and their objectives.” AI systems can have various levels of autonomy and adaptiveness, ranging from systems that assist humans to perform tasks more efficiently to ones with automated decision-making processes without any human intervention [5].

 

AI applications have gained a significant momentum in recent years across various sectors such as healthcare (e.g., medical data analysis and telemedicine), retail (e.g., product recommendations), manufacturing (e.g., assembly line automation), infrastructure (e.g., smart cities and driverless cars), finance and banking (e.g., fraud detection), and education (e.g., personalized learning).

 

Prospects

 

AI is a disruptive technology in today's’ global economy. Beyond its implications on how people live and work, it has a tremendous economic potential that remains untapped both globally and at the GCC level. AI is predicted to contribute $15.7 trillion to the global economy by 2030 and US$320 billion to the Middle East economy (11% of GDP) [2].

 

Among the six countries of the GCC, the Kingdom of Saudi Arabia (KSA) is expected to benefit the most from the move towards AI with an expected contribution of US$135.2 billion towards its economy. The United Arab Emirates (UAE), in turn, will benefit from a contribution of US$96.0 billion, while the remaining four countries are expected to share a total growth of US$45.9 billion. In relative terms to the GDP of each country, the AI contribution to the UAE economy will be the highest with 14% of its GDP [2].

 

Acknowledging this tremendous economic potential, various AI initiatives have been undertaken in recent years especially in the UAE and KSA. Examples from the UAE include establishing a ministry for artificial intelligence [6], launching a national AI strategy [7], in addition to other initiatives such as the autonomous transportation strategy [8]. In turn, the Saudi government has identified digital transformation as a key enabler for its 2030 vision, which includes diversifying the economy and promoting knowledge-based sectors [9].

 

Despite the highlighted initiatives and overall economic potential of AI, related efforts have typically been segregated and remain limited in comparison to other growing economies such as China and India. Important barriers exist that hinder the full deployment of AI in the GCC. These include - but are not limited to - locally-generated knowledge, economic barriers, social risks, and rigid institutional and policy structures. As such, important questions arise and need to be further studied:

  1. Are the Gulf countries on track to catch-up with the global push towards AI?
  2. Are the current physical and institutional infrastructures ready for such transformation?
  3. Is local talent available and ready?
  4. Is the GCC economy ready for such job market evolution?
  5. Will GCC countries be adopters of AI knowledge and technology or will they evolve to become effective developers and contributors at the local and national stages?

 

Workshop Goals

 

The goal of this workshop is to explore the current state, opportunities, and challenges related to AI in the GCC. Scholars and decision makers will discuss current challenges and practices currently adopted in Gulf cities. Promising and novel implementations of AI concepts and technologies will be mapped and assessed.

Throughout the workshop, the exchange of knowledge aims to bridge the current gap between different stakeholders such as government policy makers, researchers and innovators, and private sector entities. In addition, the workshop will specifically address the key elements that the GCC countries need to focus on in the next decade in order to leverage the potential of AI and transition towards more knowledge-based economies.

Workshop Scope and Proposed Topics

This workshop will have four general themes (T1 to T4) to address the prospects and challenges of AI in the Gulf. The themes are illustrated in Figure 1 and detailed below:

T1–Technology and Infrastructure: Big data, machine learning, Internet of Things (IoT), networking and transportation infrastructure, automation, autonomous cars, etc.

T2–Education and R&D: Industry research & development, AI training and skill development, new AI degrees and technical diplomas, role of academic institutions, etc.

T3–Policy & Legislation: Governance and regulations, AI and the law, cybersecurity issues, new emerging threats, etc.

T4–Social Implication & Responsibility: Robotics and machine ethics, social connections VS isolations, equality VS inequality, telemedicine and medical condition diagnosis, jobs made obsolete VS created, etc.

Figure 1. Workshop themes

Edited Book

An additional aim of the workshop is to publish an edited book based on the individual papers presented. It is hoped that this volume will fill a gap in the relatively thin but growing literature available on AI and its implication on Gulf’s economies and citizens.

 

Contributions to Gulf Education, Research, Development, and Innovations

This workshop will provide a venue to discuss and debate the prospects and challenges of AI in the GCC. A collaborative effort is needed from various stakeholders within and between Gulf countries to align efforts and successfully leverage the power of AI. Such efforts require an active engagement of governmental entities, private sector, academic institutions, and citizens.

This workshop will enable and facilitate a multi-disciplinary discussion and exchange of knowledge and ideas. We hope that this will boost interest and research in the area and act as a catalyst for innovation, entrepreneurship, and R&D. Another contribution of this workshop is to set a framework and engage students, government officials, and policy makers to pave the way towards a smarter and more sustainable future.

 

 

Anticipated Participants

 

We encourage participants from various disciplines, including but not limited to: engineering, policy-making and governance, economics, social science, and data science. Applications and case studies from the Gulf region are highly encouraged. Researchers with Gulf region experience (both native and non-native) are also encouraged to apply. In addition, the workshop is also open to representatives of private companies, governments, NGOs, and think tanks. Papers are accepted from individuals, co-authors, and small group contributions depending on the topic and/or institution.

Potential topics for anticipated papers include, but are not limited to:

  • Case studies of current AI initiatives in the Gulf
  • AI potential assessment by sector (e.g., finance, healthcare, infrastructure, governance, etc.)
  • Barriers to effective AI implementation
    • Economic
    • Infrastructure and technology
    • Political
    • Social/behavioral, etc.
  • Opportunities and solutions
    • Automation
    • Smart cities
    • ICT technologies
    • Knowledge-based economy
    • Human capital development
    • Sustainable critical infrastructure, etc.
  • Agents of change towards AI implementation
    • Role of public institutions and governance
    • Role of private sector
    • Role of academia
    • Role of citizens

 

 

Workshop Director Profiles

 

Dr. Elie Azar is an Industrial and Systems Engineering faculty at Khalifa University of Science and Technology in Abu Dhabi, UAE. His main research focus is on smart and sustainable buildings and communities through the modeling and analysis of complex building systems and human behavior. Dr. Azar has worked as a construction engineer and building energy analyst in North America, the Middle East, and Europe. He has also authored more than 40 publications in peer reviewed journals and refereed conference proceedings, book chapters, in addition to two books on sustainability and smart cities in the Gulf. His research has been internationally recognized on several occasions through various international academic awards. Dr. Azar earned his bachelor’s degree in Mechanical Engineering from Ecole Polytechnique de Montreal, and his Master of Science and Doctorate of Philosophy in Civil and Environmental Engineering from the University of Wisconsin-Madison.

 

Mr. Anthony N. Haddad is a Senior Manager for Middle East Expansions at Amazon.com, and spends his time between Seattle and Dubai. Anthony’s work at Amazon is focused on building scalable products and services in the digital and retail spaces across Asia, Europe and the Middle East. Most recently, Anthony helped to drive Amazon’s acquisition of Souq.com, the incumbent e-commerce retailer in the Middle East, and is focused on product integration and expansions in the GCC and Middle East. Previously, Anthony worked in strategy management consulting, advising clients in government, telco and education in the GCC. Anthony’s academic career includes a Bachelor of Arts degree from the American University of Beirut; a Master of Arts degree in foreign relations and economic development at the School of Advanced International Studies, Johns Hopkins, and a Masters of Business Administration degree from the Wharton School, University of Pennsylvania

 

Selected Readings

 

Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited (2016).

 

Cohen, Paul R., and Edward A. Feigenbaum, eds. The handbook of artificial intelligence. Vol. 3. Butterworth-Heinemann (2014).

 

PwC Middle East, “The potential impact of AI in the Middle East” (2018).

 

Accenture.  Pivoting with AI: How Artificial Intelligence can drive diversification in the Middle East (2018).

 

References

[1] Grudin, Jonathan. "A moving target: The evolution of HCI." The human-computer interaction handbook: Fundamentals, evolving technologies, and emerging applications (2008): 1-24.

 

[2] PwC, ‘Sizing the Prize: What’s the Real Value of AI for your Business and how can you Capitalize?’ (2017)

 

[3] Newborn, Monty. Deep Blue: an artificial intelligence milestone. Springer Science & Business Media (2013).

 

[4] Campbell, Murray, A. Joseph Hoane Jr, and Feng-hsiung Hsu. "Deep blue." Artificial intelligence 134.1-2 (2002): 57-83.

 

[5] PwC Middle East, “The potential impact of AI in the Middle East” (2018)

 

[6] ArabianBusiness.com, “UAE appoints first Minister for Artificial Intelligence” (2017)

 

[7] https://government.ae, “UAE Strategy for Artificial Intelligence” (2017)

 

[8] https://government.ae, “Dubai Autonomous Transportation Strategy” (2017)

 

[9] http://vision2030.gov.sa/en, “KSA Vision 2030” (2016)

 

WITH THE GENEROUS SUPPORT OF