Environmental Integration on ...
Online Conference
10 Apr 2025 / 12 Apr 2025 read moreSubscribe to our newsletter
Artificial Intelligence (AI) has the potential to transform industries, improve efficiency, and enhance decision-making processes across various sectors. From healthcare and finance to transportation and entertainment, AI is unlocking new possibilities and driving innovation. By analyzing huge amounts of data with incredible speed and accuracy, AI systems can uncover patterns, make predictions, and provide valuable insights that enable businesses and individuals to make informed choices. Furthermore, AI-powered technologies have the capacity to solve complex problems, automate repetitive tasks, and improve overall productivity. As we continue to harness the power of AI, it is very important to ensure responsible development and deployment that meets ethical standards, transparency, and fairness. By embracing AI, we can unlock its potential to shape a brighter and better future for humanity.
AI is used in businesses and fields all around the world like healthcare, e-commerce and retail, finance, manufacturing and automation, marketing, advertising, and customer service and there are several successful implementations of AI across various industries that highlight its potential and impact. These examples show how AI is being successfully implemented across various fields. As technology continues to advance, the potential for AI to reform industries and create new opportunities is huge.
Conference Scope
“The Artificial Intelligence and Computational Technologies” conference aims to bring together researchers, practitioners, and industry experts from different backgrounds to explore the latest advancements in artificial intelligence (AI) and computational technologies. This conference provides a platform for sharing innovative ideas, discussing real-world usage cases, and addressing the ethical considerations associated with the rapid development and deployment of AI and computational technologies.
The conference will cover a broad range of topics including, but not limited to, AI-driven innovations in various domains such as healthcare, finance, manufacturing, and transportation. It will delve into the practical implementation of AI and computational technologies, showcasing successful usage cases, best practices, and lessons learned. Additionally, the conference will emphasize the importance of ethical considerations in AI, addressing topics such as algorithmic bias, transparency, privacy, and accountability.
Statement of Purpose
The main goal of this conference is to allow attendees to gain valuable insights into the latest innovations, emerging trends, and real-world applications of AI and computational technologies. Participants get to engage in thought-provoking discussions surrounding the ethical considerations that accompany the integration of AI in society. Ultimately, the conference aims to contribute to the responsible and ethical development and deployment of AI and computational technologies, promoting a sustainable and inclusive future.
The Artificial Intelligence and Computational Technologies conference aims to provide a dynamic platform for researchers, practitioners, industry experts, and policymakers to come together and engage in stimulating discussions on the advancements, applications, and ethical dimensions of artificial intelligence (AI) and computational technologies. With the rapid proliferation of AI and computational technologies across various sectors, it is crucial to gather diverse perspectives and expertise to explore innovative solutions, share practical usage cases, and critically examine the ethical considerations associated with their implementation.
1.1. Deep Learning Advancements
1.2. Natural Language Processing (NLP) Breakthroughs
1.3. Computer Vision Innovations
1.4. Robotics and Autonomous Systems
1.5. Explainable AI and Interpretability
1.6. The Use of AI in Financial Processes
1.7. AI and its Usage in Smart Cities
1.8. AI in Virtual Assistants and Chatbots
2.1. Privacy and data protection in the age of AI
2.2. Impact of AI on employment and job displacement
2.3. AI in promoting inclusivity and accessibility
2.4. International collaboration in AI research and development
2.5. AI in preserving and promoting cultural heritage
2.6. AI in language translation and cross-cultural communication
2.7. AI and Sustainable Development
2.8. Collaborative AI research initiatives and projects
3.1. AI in Medical Diagnosis
3.2. AI in Personalized Medicine
3.3. AI in Healthcare Robotics
3.4. AI in Healthcare Data Analytics
3.5. AI in Electronic Health Records (EHR)
3.6. AI in Telemedicine and Remote Monitoring
3.7. AI in Mental Health
3.8. Ethical Considerations in AI Healthcare
4.1. AI in Business Operations
4.2. AI in Customer Relationship Management (CRM)
4.3. AI in Sales and Marketing
4.4. AI in Financial Services
4.5. AI in Human Resources
4.6. AI in Business Intelligence and Analytics
4.7. AI in Decision-Making and Strategy
4.8. Ethical Considerations in AI Business Applications
5.1. Impact of AI on the Job Market
5.2. Human-AI Collaboration in the Workplace
5.3. AI and Workforce Transformation
5.4. AI and Job Creation
5.5. AI and Workplace Ethics
5.6. AI and Skills Development
5.7. AI and the Future of Leadership
6.1. Secure and Smart AI Infrastructure
6.2. Intelligent transportation systems
6.3. Smart buildings
6.4. Public safety and security
6.5. Citizen engagement and participation
6.6. Urban planning and resource allocation
6.7. Environmental monitoring and sustainability
6.8. Smart grid and energy management
7.1. The Unique Challenges and Risks Associated with Data Privacy and Security
7.2. Importance of Privacy and Data Protection in the Context of AI
7.3. The Ethical Implications of Data Privacy and Security in AI.
7.4. Data Governance and Accountability
7.5. User Awareness and Education
7.6. Cybersecurity and Threats
7.7. Accountability and Transparency in the Usage of AI
7.8. International Perspectives on AI
8.1. Ethical Considerations in AI
8.2. Global AI Ethics and Governance
8.3. The Concept of Ethical Impact Assessments for AI Systems
8.4. Cybersecurity and AI
8.5. AI Policy and Standardization
8.6. Public Perception and Trust
8.7. AI and Social Equity
8.8. Intellectual Property Considerations in AI
9.1. Optimizing Resource Use through AI and Computational Technologies
9.2. The Application of AI and Computational Technologies in Biodiversity Research
9.3. How AI and Computational Technologies Can Contribute to Climate Change Mitigation
9.4. Smart Environmental Monitoring
9.5. AI and computational technologies in enhancing sustainable agricultural practices
9.6. Circular Economy and Waste Management
9.7. Environmental Policy and Decision-Making
9.8. Collaborative Platforms and Citizen Science
10.1. Creative AI in Art and Music
10.2. Autonomous Storytelling
10.3. AI in Game Design
10.4. AI and Creative Writing
10.5. AI in Film and Media Production
10.6. AI and Design Innovation
10.7. AI and Creative Collaboration
10.8. Human-AI Co-creation
Title | Date |
---|---|
Abstract Submissions Deadline | 01 Sep 2025 |
Last Notification for Abstract Acceptance | 15 Sep 2025 |
Full Paper Submission Deadline | 01 Oct 2025 |
Last Notification for Full-Paper Acceptance | 15 Oct 2025 |
Early Payment Deadline | 15 Aug 2025 |
Regular Payment Deadline | 15 Sep 2025 |
Late Payment Deadline | 15 Oct 2025 |
Letter of Visa (for delegates who need visa entry) | 15 Aug 2025 |
Letter of Final Acceptance | 15 Jul 2025 |
Conference Program | 17 Oct 2025 |
Conference Launch | 17 Nov 2025 |
Subscribe to our newsletter
Join IEREK community