Eduard Babulak

National Science Foundation | NSF · Research Panelist

The function and popularity of Artificial Intelligence are soaring by the day. Artificial Intelligence is the ability of a system or a program to think and learn from experience. AI applications have significantly evolved over the past few years and have found their applications in almost every business sector.

AI enhances decision-making, automates repetitive tasks and drives innovation throughout various industry sectors. AI can answer vital questions, which might not even cross a human mind and process big data in fractions of seconds to spot patterns that humans would never see, resulting in better decision-making.

AI also paves the way for personalization, improves customer experience and might one-day re solve some of the planet's grand challenge problems like climate change or disease prevention. As AI further develops, it has the ability to change our lives and work.

source: 24 Artificial Intelligence Applications in 2025

https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/artificial-intelligence-applications

In a rapidly evolving digital landscape, the integration of Artificial Intelligence (AI) into our daily lives and businesses has become more profound. As the potential of AI expands, so does the responsibility of developing it in a manner that aligns with ethical principles, respects privacy, and keeps human well-being at its core. In this edition of the Skills Revolution newsletter, we will explore the key skills required to foster ethical AI development and the importance of maintaining a human-centric approach in technological innovation.

Ethics in AI is not just a set of guidelines—it is a fundamental requirement for the responsible and sustainable development of technology. By prioritising fairness, transparency, privacy, and human-centric design, we can build AI systems that serve society's best interests. This approach ensures that as AI continues to shape our world, it does so in a way that enhances human well-being, respects individual rights, and fosters trust and collaboration across all sectors. Ethics in AI is the pathway to a future where technology and humanity thrive together.

Addressing inherent biases in AI algorithms is vital. Developers must be equipped to recognise, measure, and mitigate biases in data sets to prevent unfair outcomes. With data privacy regulations like GDPR and CCPA, it's essential to design systems that respect user data and are transparent about data usage. Transparency involves making AI decision-making processes explainable, allowing users to understand how outcomes are derived.

As artificial intelligence (AI) continues to revolutionise industries, its integration into decision-making processes has a profound impact on society. With this power comes a responsibility to ensure that AI systems are developed and used in a way that is ethical, fair, and transparent. The importance of ethics in AI is multi-faceted, encompassing considerations of fairness, accountability, privacy, human rights, and trust. Below, we delve deeper into the key reasons why ethical considerations are paramount in AI development

source: AI Ethics and Human-Centric Technology Development

The explosive growth in artificial intelligence (AI) technologies’ capabilities has ushered in a new era in national security. Today, a hostile nation could develop the capacity to launch an AI-powered cyberattack that silently infiltrates power grids, financial systems and communication networks simultaneously, plunging regions into darkness, disrupting economies and sowing chaos.

Security experts and policymakers need specific skills and knowledge to effectively respond to the unprecedented challenges AI is bringing to the nation’s security landscape. Earning an advanced degree in homeland security and emergency preparedness can help individuals gain the expertise they need to make a meaningful impact in the evolving and dynamic field of national security.

source: Artificial Intelligence (AI) Challenges and Advantages in National Security

The same drivers that have heralded the rise of quantum open architecture will enable it to accelerate the advent of utility-scale quantum computing in the future. As technology progresses, the complexity and development cost of each quantum computing component grows exponentially. This provides a strong incentive for companies to down-scope and specialise vertically. Even companies that currently develop most of the quantum computing stack in-house will transition to QOA.

New Capabilities Will Expand the Scope of Quantum Open Architecture Quantum Computing

Next-generation components and systems play a pivotal role in advancing utility-scale quantum computing. Scalable quantum processors, like those developed by QuantWare, are essential for building larger, more powerful quantum systems. These processors are designed to integrate seamlessly with up-stack technologies (advanced control hardware and cryogenic systems) and down-stack (novel qubit types and application-specific designs), creating the foundation for robust quantum computing platforms.

source: Quantum Computing Horizons: The Future of Quantum Open Architecture

"AI refers to systems or machines that perform tasks that typically require human intelligence, and can iteratively improve themselves over time, based on the information they collect," says David Jensen, coordinator of the United Nations Environment Program's (UNEP's) Digital Transformation sub-programme.

Jensen highlights several areas where AI can play a role in tackling environmental challenges, from designing more energy-efficient buildings to monitoring deforestation to optimizing renewable energy deployment.

"This can be on a large scale – such as satellite monitoring of global emissions, or a more granular scale – such as a smart house automatically turning off lights or heat after a certain time," he adds.

source: How artificial intelligence is helping tackle environmental challenges

Prior review of the ethical challenges facing AI has identified six types of concerns that can be traced to the operational parameters of decision-making algorithms and AI systems. The map reproduced and adapted in Figure 1 takes into account:

“decision-making algorithms (1) turn data into evidence for a given outcome (henceforth conclusion), and that this outcome is then used to (2) trigger and motivate an action that (on its own, or when combined with other actions) may not be ethically neutral. This work is performed in ways that are complex and (semi-)-autonomous, which (3) complicates apportionment of responsibility for effects of actions driven by algorithms.”

From these operational characteristics, three epistemological and two normative types of ethical concerns can be identified based on how algorithms process data to produce evidence and motivate actions. The proposed five types of concerns can cause failures involving multiple human, organisational, and technological agents. This mix of human and technological actors leads to difficult questions concerning how to assign responsibility and liability for the impact of AI behaviours. These difficulties are captured in traceability as a final, overarching, type of concern.

source: Common ethical challenges in AI https://www.coe.int/en/web/bioethics/common-ethical-challenges-in-ai

The international community started to take notice of AI and its influence on modern warfare in 2012, with a series of documents outlining the use of automated weapons systems. These documents included policy directives by the U.S. Department of Defense (DoD) on autonomy in weapons systems and a report from Human Rights Watch and the Harvard Law School’s International Human Rights Clinic (2012 HRW-IHRC report) calling for an outright ban on automated weapons.

The development and use of weapons that can undertake autonomous functions during conflict is becoming the focus of states and tech companies. In 2017, an open letter from the Future Life Institute to the United Nations (UN) signed by 126 CEOs and founders of artificial intelligence and robotics companies “implored” states to prevent an arms race for autonomous weapons systems (AWS).

source: War, Artificial Intelligence, and the Future of Conflict https://gjia.georgetown.edu/2024/07/12/war-artificial-intelligence-and-the-future-of-conflict/

Researchers often use different research methods to help them identify and understand problems. The two most commonly used research methods are basic research, which builds on existing scientific knowledge, and applied research, which seeks to solve practical problems. Understanding the differences and similarities in these two research methods can help you choose the appropriate research method for your next study. In this article, we define basic and applied research, provide examples of each, and explore their differences.

source: Basic vs. Applied Research: Definitions and Examples https://ca.indeed.com/career-advice/career-development/basic-vs-applied-research

The rapid advancement of artificial intelligence (AI) has significantly impacted infection prevention and control, particularly amid the coronavirus disease 2019 (COVID-19) pandemic. AI techniques such as machine learning (ML), deep learning, and natural language processing (NLP) have successfully transformed infection prevention and control strategies. These technologies have enhanced our understanding of infectious diseases, facilitated disease transmission prediction, and improved public health emergency responses. Despite these benefits, AI technologies encounter challenges related to ethics, biosafety, and privacy, including concerns about handling medical data by private entities and its potential misuse. Effectively utilizing AI in infection prevention and control requires balancing technical potential with ethical, policy, and societal considerations. In-depth research is essential to provide guidance for the responsible and effective use of AI technologies, thereby informing public health decision-makers and practitioners.

Disease Surveillance, Outbreak Prediction, and Contact Tracing

AI plays a crucial role in the surveillance and prediction of infectious disease outbreaks. Its ability to process diverse types of data allows healthcare authorities to take proactive measures.

source: The Implications of Artificial Intelligence on Infection Prevention and Control: Current Progress and Future Perspectives

Lin Yang 1, Shuya Lu 1, Lei Zhou 2,*

As artificial intelligence (AI) becomes an integral part of daily life, its influence on young minds—particularly future leaders—is profound. While AI promises efficiency and advancement, it also raises ethical concerns, especially regarding children's emotional and cognitive development. As parents and educators, we must navigate this new landscape carefully, balancing the potential benefits of AI with the need to protect and nurture our children's unique capabilities.

Source: Young Minds, Big Data: How AI is Shaping the Future of Young Leaders https://www.theempowered.ca/blog/young-minds-big-data-how-ai-is-shaping-the-future-of-young-leaders

Nations across the globe could see their power rise or fall depending on how they harness and manage the development of artificial intelligence (AI). Regardless of whether AI poses an existential risk to humanity, governments will need to develop new regulatory frameworks to identify, evaluate, and respond to the variety of AI-enabled challenges to come.

With the release of advanced forms of AI to the public early in 2023, public policy debates have rightly focused on such developments as the exacerbation of inequality, the loss of jobs, and the potential threat of human extinction if AI continues to evolve without effective guardrails. There has been less discussion about how AI might affect geopolitics and which actors might take the lead in the future development of AI or other advanced AI algorithms.

As AI continues to advance, geopolitics may never be the same. Humans organized in nation-states will have to work with another set of actors—AI-enabled machines—of equivalent or greater intelligence and, potentially, highly disruptive capabilities. In the age of geotechnopolitics, human identity and human perceptions of our roles in the world will be distinctly different; monumental scientific discoveries will emerge in ways that humans may not be able to comprehend. Consequently, the AI development path that ultimately unfolds will matter enormously for the shape and contours of the future world.

Source: AI and Geopolitics: How Might AI Affect the Rise and Fall of Nations? https://www.rand.org/pubs/perspectives/PEA3034-1.html

Source: The generative world order: AI, geopolitics, and power https://www.goldmansachs.com/insights/articles/the-generative-world-order-ai-geopolitics-and-power

The evolution of the electronic age has led to the development of numerous medical databases on the World Wide Web, offering search facilities on a particular subject and the ability to perform citation analysis. We compared the content coverage and practical utility of PubMed, Scopus, Web of Science, and Google Scholar. The official Web pages of the databases were used to extract information on the range of journals covered, search facilities and restrictions, and update frequency.

source: Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses

Matthew E Falagas 1, Eleni I Pitsouni, George A Malietzis, Georgios Pappas

Prepare for a people-centric future of work

Artificial intelligence, the global talent shortage, and the shifting value exchange between employers and employees are impacting organizations globally. Organizations must prioritize employee value propositions, personal development, and modernized leadership practices in their organizational design to remain competitive and retain top talent.

Our blueprint unlocks three critical steps to prepare your organization for the future of work in 2025 and beyond.

source: https://go.mcleanco.com/future-of-work-g/

https://www.sap.com/products/artificial-intelligence.html

Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making—and already it is transforming every walk of life. In this report, Darrell West and John Allen discuss AI’s application across a variety of sectors, address issues in its development, and offer recommendations for getting the most out of AI while still protecting important human values.

Source: https://www.brookings.edu/articles/how-artificial-intelligence-is-transforming-the-world/

2024 is a landmark election year, with over 60 countries—encompassing nearly half of the global population—heading to the polls. Technology has long been used in electoral processes, such as e-voting, and it is a valuable tool in making this process efficient and secure.

However, recent advancements in artificial intelligence, particularly generative AI such as ChatGPT (OpenAI) and Copilot (Microsoft), could have an unprecedented impact on the electoral process. These digital innovations offer opportunities to improve electoral efficiency and voter engagement, but also raise concerns about potential misuse. AI can be used to harness big data to influence voter decision-making. Its capacity for launching cyberattacks, producing deepfakes, and spreading disinformation could destabilize democratic processes, threaten the integrity of political discourse, and erode public trust.

UN Secretary-General António Guterres highlighted AI’s dual nature in his address to the Security Council, noting that while AI can accelerate human development, it also poses significant risks if used maliciously. He stated, “The advent of generative AI could be a defining moment for disinformation and hate speech—undermining truth, facts, and safety, adding a new dimension to the manipulation of human behaviour and contributing to polarisation and instability on a vast scale.”

source: https://unric.org/en/can-artificial-intelligence-ai-influence-elections/

In light of current dynamic advances in the field of Artificial Intelligence (AI), Smart Computation and Fast Internet, the landscape of Education and Teaching Pedagogy is becoming a high-tech enterprise utilizing AI driven computing. This is a beginning of the new era of the rise of AI Enabled Computing that will be tailored to each learner at each level to make sure that each student is provided with the best quality of education and learning experience. Due to the current ongoing Global Migration, Nature Phenomena and War conflict the proper quality education today has become essential in order to build and rebuild destroyed and less privileged regions in the world, where quality of education is facing great challenges caused by the lack of resources and societal unrest. The education today and tomorrow must be tailored to Generation of New Cyber Nomads, young learners who are utilizing smart computational devices from their very young age and have become technology savvy able to master computation in much faster manner compare to their parents. Apart of new Cyber Nomads generation, many children are born with autism and health problems that may pose significant challenges in their pursuit of education and later career growth. The traditional educational practices are challenged by the current needs of new generation of learners and yet, the fundamental purpose of education has not changed. However, the pedagogy and learning methods are changing rapidly due to fast technological advances in conjunction with the social and psychological challenges presented to both to learners and to educators.

Source: https://www.igi-global.com/publish/call-for-papers/call-details/7933

The degree of attack sophistication is going to significantly increase as bad actors leverage generative AI to create novel campaigns. It's not reasonable that each company can become an AI security specialty shop, so we're putting our trust in Abnormal to lead the way in that kind of advanced detection.”

— Karl Mattson, CISO, Noname Security

An Abnormal Approach to Stopping AI-Generated Attacks

SOLUTION

How Abnormal Stops AI-Generated Attacks

source: https://abnormalsecurity.com/lp-generative-ai-attacks?utm_source=google&utm_medium=Paid%20Search&utm_content=nonbrand-ai&utm_term=ai%20driven%20cyber%20security&gad_source=1&gclid=EAIaIQobChMIzL3P7Ke5iAMV7UX_AR2gaSvSEAAYBCAAEgKjePD_BwE

The number of people suffering acute food insecurity increased from 135 million in 2019 to 345 million in 82 countries by June 2022, as the war in Ukraine, supply chain disruptions, and the continued economic fallout of the COVID-19 pandemic pushed food prices to all-time highs.

Global food insecurity had already been rising, due in large part to climate phenomena. Global warming is influencing weather patterns, causing heat waves, heavy rainfall, and droughts. Rising food commodity prices in 2021 were a major factor in pushing approximately 30 million additional people in low-income countries toward food insecurity.

At the same time, the way that food is often produced today is a big part of the problem. It’s recently been estimated that the global food system is responsible for about a third of greenhouse gas emissions—second only to the energy sector; it is the number one source of methane and biodiversity loss.

source: https://www.worldbank.org/en/news/feature/2022/10/17/what-you-need-to-know-about-food-security-and-climate-change

Almost every development we cover on Our World in Data is underpinned by technological change.

Medical innovations contributed to the decline in child mortality and the improvement in life expectancy. Thanks to the advances in agricultural technologies, higher crop yields and less undernourishment became possible. The long-term decline of global poverty was primarily driven by increased productivity from technological change. Access to energy, electricity, sanitation, and clean water has transformed the lives of billions. Transport, telephones, and the Internet have allowed us to collaborate on problems at a global level.

Emerging technologies are often expensive and, therefore, initially limited to society's richest. A key part of technological progress is making these life-changing and often life-saving innovations affordable for everyone.

Technology has improved our lives in many ways, but these developments are not always positive. Many of humanity’s largest threats — such as nuclear weapons and potentially artificial intelligence — result from technological advances. To mitigate these risks, good governance can be as important as the technology itself.

source: https://ourworldindata.org/technological-change