logo
SICE 2025 urges responsible AI use in higher education

SICE 2025 urges responsible AI use in higher education

Sharjah 2413-05-2025

Dual-campus conference collaboration
Day One of the conference took place at UoS, while Day Two was held at AUS in the presence of Her Excellency Sheikha Bodour bint Sultan Al Qasimi, President of AUS, bringing together academics, researchers and industry leaders to explore the expanding role of artificial intelligence (AI) in higher education and workforce development.
Opening remarks emphasise partnerships
The day began with a welcome address by Her Excellency Sheikha Bodour, followed by welcome remarks from Professor Esameldin Agamy, Chancellor, University of Sharjah, underscoring the importance of academic partnerships in advancing innovation across the UAE's education sector.
Sheikha Bodour urges thoughtful AI integration
Addressing the conference, Sheikha Bodour said:
"We have a shared responsibility as educators and innovators to adapt to artificial intelligence and to thoughtfully shape its integration in ways that uplift our students – and society..."
AUS leadership stresses frameworks for AI
Her comments had been foreshadowed on Day One by Dr. Tod Laursen, Chancellor of AUS, who said:
"SICE 2025 served as a timely platform to engage with how AI is redefining the role and responsibilities of higher education institutions..."
Keynote speakers explore strategic AI adoption
The Day Two program featured two keynote presentations, each offering distinct insights into the evolving role of AI in higher education.
Khadish Franklin, Managing Director and Head of Research Advisory Services at EAB, discussed how institutions can establish an AI posture to support strategic transformation. Dr Jassim Al Awadhi, Senior Director and Digital Transformation Principal in the telecom sector, examined AI's implications for graduate readiness and future labor market demands , while Dr Sami Nejri, invited speaker, explored AI's cognitive and interdisciplinary dimensions, encouraging institutions to rethink traditional academic boundaries.
Panel discusses higher education's role in bridging the AI skills gap
A panel discussion titled 'Bridging the AI Skills Gap: Higher Education's Role in Shaping the Future Workforce' brought together leaders from New York University Abu Dhabi, Mohamed bin Zayed University of Artificial Intelligence, the American University in Cairo, and Amazon Web Services. Moderated by Dr Fadi Aloul, Dean of the AUS College of Engineering, the discussion focused on the need to integrate AI-related competencies into curricula while maintaining academic rigor and relevance.
Research presentations highlight AI's transformative role
Over the course of the day, more than 30 peer-reviewed research papers were presented across six thematic tracks, covering topics such as AI in engineering and design education, blended learning and gamification, multilingual instruction, AI in legal writing, personalised learning models, faculty development and data-driven academic research. Presenters showcased a range of applications demonstrating how AI is reshaping pedagogy, assessment, engagement and institutional planning.
Poster session showcases faculty and student innovations
A poster session held in the AUS Main Building Rotunda provided faculty and student researchers with a platform to share projects focused on AI-generated content, classroom technologies, learning analytics and collaborative digital tools.
Expert insights on academic readiness for AI integration
Dr. James Griffin, Vice Provost for Undergraduate Affairs and Instruction at AUS, said: "The technical depth of the conference was especially impactful... These insights offer a practical roadmap for how universities can approach AI adoption with academic rigor and innovation."
AUS faculty honoured for excellence in research
During the conference, six distinguished AUS faculty members were recognized with the 2025 Excellence in Research Awards, honoring exceptional contributions in creative works, humanities and social sciences and STEM. In the Creative Works category, Faysal Tabbarah, Associate Professor of Architecture, received first prize for his innovative architectural research addressing regional and environmental contexts, while Dr. Sohail Dahdal, Head of the Department of Media Communication, earned second prize for his immersive storytelling projects that integrate artistic excellence with digital technology. In the Humanities and Social Sciences category, Dr. John Katsos, Professor of Management, was awarded first prize for his influential research and recognition in business and peace studies, including Nobel Peace Prize nominations and publications in leading journals, and Dr. Ahmed Ali, Professor of Translation and Head of the Department of Arabic and Translation Studies, received second prize for his impactful work in Arabic linguistics and translation. In the STEM category, Dr. Mostafa Shaaban, Associate Professor of Electrical Engineering and Director of the Energy, Water and Sustainable Environment Research Center, received first prize for his leadership in smart grids, energy resilience and electric vehicles, and Dr. Farid Abed, Professor of Civil Engineering, was honored with second prize for his advancements in structural engineering and sustainable construction materials.
SICE 2025 reinforces Sharjah's leadership in AI and education
SICE 2025 reflected a shared commitment by AUS and UoS to advancing academic dialogue on the integration of artificial intelligence in higher education. Through this collaboration, the conference reinforced Sharjah's position—and that of the wider UAE—as a leading center for research, innovation and cross-sector engagement in shaping the future of education.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Asian equities see largest monthly foreign inflow in 15 months
Asian equities see largest monthly foreign inflow in 15 months

Gulf Today

time15 minutes ago

  • Gulf Today

Asian equities see largest monthly foreign inflow in 15 months

Asian equities attracted strong foreign inflows in May as concerns over an immediate economic hit from higher US tariffs eased, prompting a return by investors who had previously exited large and concentrated positions in the region. The inflows marked a sharp reversal after four consecutive months of net foreign selling. According to data from LSEG, foreign investors bought approximately $10.65 billion worth of equities across India, Taiwan, South Korea, Thailand, Indonesia, Vietnam, and the Philippines, registering their largest monthly net purchase since February 2024. US President Donald Trump's announcement of reciprocal tariffs in early April stoked concerns over the impact on Asian exports, exporter margins, and regional supply chains, but a subsequent 90-day pause for most countries later in the month helped ease investor fears and revive interest in regional assets. Goldman Sachs said it has revised its earnings growth forecast for MSCI Asia Pacific ex-Japan (MXAPJ) to 9 per cent for both 2025 and 2026, raising estimates by 2 and 1 percentage points, respectively, citing stronger macro growth in China and US-exposed markets. The upgrade was also supported by $600 billion in AI-related investments from Saudi Arabia to US firms, which are expected to benefit Taiwan and Korea, though the impact may be partially offset by a weaker dollar, the brokerage said. Taiwan equities witnessed $7.28 billion worth of foreign inflows, the largest monthly cross-border net purchase since November 2023. Foreigners also acquired a significant $2.34 billion worth of Indian stocks in their largest monthly net purchase since September 2024. South Korean, Indonesian and Philippine stocks also saw foreign inflows worth a net $885 million, $338 million and $290 million, respectively, while Thai stocks suffered $491 million of net selling. Despite heightened market volatility in the first half of the year driven by concerns over President Trump's trade policies, the MSCI Asia-Pacific Index has risen about 8.8 per cent year-to-date, outperforming both the MSCI World Index, which is up 5.4 per cent, and the S&P 500 Index, which has gained 0.98 per cent. Asian currencies were steady on Friday and poised for weekly gains after a phone call between US President Donald Trump and Chinese leader Xi Jinping signalled further trade talks, while most regional equities tracked Wall Street's overnight losses. In India, equities reversed course to rise 0.9 per cent after the Reserve Bank of India delivered a larger-than-expected cut to its key repo rate and lowered the cash reserve ratio to bolster economic growth. 'The RBI may have decided to move quickly to a more appropriate policy rate level. A shift towards neutral stance means more rate cuts may be unlikely in the near-term,' Jeff Ng, Head of Asia Macro Strategy at SMBC, said. The rupee inched up 0.1 per cent to 85.74 per dollar. Other regional currencies moved within a narrow band. The Thai baht and Singapore dollar were largely flat but were on track for weekly gains of 0.5 per cent and 0.4 per cent, respectively. The Malaysian ringgit was up nearly 0.6 per cent for the week. MSCI's index of emerging market currencies was flat after touching an all-time high on Thursday. The index is up 0.5 per cent for the week. The dollar index was little changed, after hitting a six-week low on Thursday, and was headed for a weekly loss of 0.5 per cent. Trump's erratic tariff moves and a worsening US fiscal outlook have triggered a flight from the dollar, prompting analysts to expect most emerging market currencies will retain or build on their gains over the next six months. In their closely watched hour-long phone call on Thursday, Xi pressed Trump to ease trade tensions that have rattled the global economy and warned against provocative moves on Taiwan, according to a summary released by the Chinese government. But Trump said on social media that the talks, focused primarily on trade, led to 'a very positive conclusion'. 'The talks look positive, and coupled with Federal Reserve rate cut expectations due to weak US data, might lead to further USD softening,' said Saktiandi Supaat, Head of FX research at Maybank. Markets are now bracing for the US jobs and non-farm payrolls report due later in the day, with concerns that a downside surprise could stoke stagflation fears and boost pressure on the Federal Reserve to quickly ease policy. Reuters

Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders
Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders

Gulf Business

time6 hours ago

  • Gulf Business

Executive education: Accenture's Abir Habbal on preparing AI-savvy leaders

Image: Supplied The AI revolution isn't coming — it's already here. But for most business leaders, bridging the gap between AI hype and actionable strategy remains a challenge. Enter the Generative AI Scholars Programme, a joint initiative by Accenture and Stanford University, now being rolled out across the Middle East. In this interview, Abir Habbal, Data and AI Strategy & Consulting lead at Accenture in the Middle East, explains what makes this programme more than just another executive course. From bite-sized modules grounded in Stanford's academic legacy to real-world applications tailored for the region's ambitious digital visions, this programme is designed to turn C-suite curiosity into capability. Habbal also shares why the UAE and Saudi Arabia are ideal launchpads, highlights the top misconceptions around AI adoption, and offers a glimpse into the real business impact already emerging from this new generation of AI-savvy leaders. In your view, what role can executive education like this play in accelerating the region's digital transformation — and what's still needed to close the gap between ambition and impact? Executive education programmes are instrumental in accelerating the Middle East's AI transformation by comprehensively equipping leaders for the AI era. They are crucial for building AI-literate leadership, empowering decision-makers across the GCC to not only understand AI's potential but also to strategically apply it within their organisations. This involves a fundamental shift in mindset: moving from viewing AI purely as an IT function to recognsing it as a catalyst for business model transformation and sustainable growth. By fostering AI fluency, these programmes bridge the communication gap between the c-suite and technical teams, enabling more productive dialogues and streamlined decision-making, which is vital for the region's ambitious national AI strategies. However, to fully close the gap between this ambition and tangible impact, several critical elements are still needed. Beyond leadership, there must be a broader investment in role-based AI training across all levels of the workforce, ensuring everyone understands how AI integrates into their daily tasks and contributes to organisational goals. Furthermore, the emphasis on responsible AI must be woven into the fabric of every initiative, with clear governance models addressing data privacy, bias, and transparency from inception, as this builds crucial trust for widespread adoption. Ultimately, sustained success hinges on a commitment to scaling what works, fostering a culture of continuous learning and experimentation, and aligning AI innovation directly with national economic diversification and digital transformation priorities across the region. There's growing awareness of AI across industries — but a notable gap when it comes to implementation. What are the most common misconceptions or barriers you see among business leaders trying to adopt AI? Despite high awareness, a significant gap exists between AI understanding and real-world implementation among business leaders. Accenture's research highlights that while 84 per cent of c-suite executives believe they must leverage AI to achieve their growth objectives, only 15 per cent feel their organization is truly ready to scale it. The most common misconceptions and barriers include: Uncertainty about where to start: The rapidly evolving AI landscape makes it challenging to differentiate hype from achievable business value. Lack of leadership alignment: If c-suite leaders (CIO, CFO, CHRO) don't operate from a shared understanding, AI initiatives often stall at the pilot stage. Organisational unreadiness: Many businesses lack the foundational data infrastructure, skilled talent, or robust governance frameworks needed for responsible AI scaling. As Accenture's research indicates, 70-80 per cent of AI initiatives never move beyond the pilot phase, and while many focus on technical capabilities, successful AI implementation is predominantly a people and process challenge. Misconception of AI as purely an IT initiative: Leaders often fail to see AI as a core strategic imperative for growth, innovation, and competitiveness, viewing it simply as a technological tool rather than a catalyst for business model transformation. Risk avoidance over responsible risk-taking: Concerns around ethics, trust, and governance, while valid, can lead to a paralysis of innovation if not balanced with a strategy of embracing innovation with built-in guardrails and responsible AI practices from day one. Lack of clarity on ROI: A significant barrier is establishing ROI on identified opportunities and making a business case for scaling initiatives, which are often perceived as more challenging than technical limitations Can you walk us through what makes this programme distinct from other executive education offerings — particularly in how it blends Stanford's academic insights with real-world application? The programme includes easily digestible, bite-sized modules, industry spotlights, case studies, and reflection activities, ensuring participants not only grasp complex concepts like technical fundamentals, foundation models, and prompt engineering but also develop the generative AI strategy and technology know-how for real-world application. This approach aims to spark reinvention agendas that can profoundly transform businesses, enabling leaders to drive innovation and navigate the digital economy effectively. Why was the Middle East chosen as the next region for the rollout of this programme, and how has the regional business landscape influenced its evolution or delivery? The Middle East, specifically Saudi Arabia and the UAE have emerged as prime focus for the rollout of programmes like the Generative AI Scholars Program due to the country visions and their unparalleled ambition and strategic commitment to becoming global leaders in AI. This region is not merely adopting AI; it's actively leading its development and integration into national visions. Both nations are making substantial financial commitments to AI infrastructure, research centers, and digital ecosystems. This includes significant government-backed AI R&D funds, free zones offering incentives for AI businesses, and partnerships with global cloud technology organisations. The region is not just investing in technology but also in building a modern digital core, which Accenture sees as essential for continuous reinvention and for organisations to rapidly seize every opportunity presented by AI. Recognisng that technology adoption requires human capital, these nations are heavily investing in developing AI fluency across their workforces, from top leadership to technical teams. We are working with MCIT Saudi Arabia in an Accenture artificial intelligence training programme organised by the Accenture LearnVantage Academy. These programmes directly address human capital requirements by equipping senior officials and business leaders with the mindset and skills needed to lead with AI responsibly. As the programme moves from theory to action, what kind of real-world business outcomes are participants expected to achieve? Can you share any early examples from previous rollouts globally? The expected real-world business outcomes are centered on driving measurable value and competitive advantage. Accenture identifies these outcomes as broader and more strategic than just cost savings. Participants are expected to achieve: Enhanced decision-making: AI tools help leadership teams make faster, more informed decisions, leading to improved strategic agility. Increased employee productivity and empowerment: By leveraging AI, leaders can free up time for their teams to focus on high-impact work rather than being buried in manual analysis or reporting. This contributes to a positive human-AI relationship, which Accenture believes is a key priority for leaders. Tangible business impact: Strategies informed by AI insights are expected to translate into winning new business, improving customer satisfaction, and accelerating the launch of initiatives. Accenture's AI Achievers report indicates that 63 per cent of high-performing companies say they've already achieved measurable ROI from their AI investments within three years. Accelerated organistional agility: AI helps organisations react faster to market changes, or spot opportunities we would've missed before, fostering a state of continuous reinvention. Business model transformation: Rather than just incremental gains, organizations are expected to achieve step-change improvements in revenue, efficiency, and customer experience by integrating AI effectively, as leaders rethink how digital systems are designed, how people work, and how they create products and interact with customers. Innovation at scale: The programme aims to unlock creativity and accelerate progress, sector by sector, by empowering people to reimagine what's possible with AI.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store