UNIVERSIDAD DA VINCI
In the Context of the
IV International Congress on Technological Innovation and Education
Artificial Intelligence: Scope, Opportunities, and Risks
CALLS FOR:
Researchers, educators, leaders of higher education institutions, educational policymakers, educational technology experts, online education system managers, online program design specialists, and mobile application developers,
TO SUBMIT PAPERS
In their areas of expertise related to the study, analysis, incorporation, and development of projects and applications based on Artificial Intelligence, following the congress’ thematic lines, namely:
Thematic Lines
- Current Developments in AI:
- Advances in deep learning.
- Neural networks and innovative architectures.
- Generative models and their application in various industries.
- Emerging technologies in the field of artificial intelligence.
- Practical Applications of AI:
- Artificial intelligence in healthcare.
- AI-driven automation and robotics.
- Artificial intelligence solutions for environmental sustainability.
- Innovations in e-commerce and user experience.
- AI Integration in Industry:
- Digital transformation in companies and organizations.
- Stories of success in AI implementation in specific sectors.
- Challenges and opportunities in the widespread adoption of AI in industry.
- Cybersecurity and Privacy in an AI-Driven World:
- Potential cyber threats and countermeasures.
- Data protection in artificial intelligence environments.
- Development of secure AI systems.
- Exploring Future Scenarios:
- Advances in quantum AI.
- Integration of AI and emerging technologies (blockchain, IoT, etc.).
- Long-term visions and future trends in artificial intelligence.
- Skill Development and Training in AI for Education Professionals:
- Academic programs and training in AI for educators.
- Skill development in education professionals for the use of AI applications.
- AI as a tool for support in continuous training.
- Integration of AI Tools in Teaching:
- Experiences in incorporating AI tools.
- Strategies for effectively integrating AI into educational content design.
- Impact of AI on personalized teaching.
- Personalization of Learning with AI Technologies:
- Use of AI to adapt learning processes to specific students’ needs.
- Technological developments employing AI-based personalization techniques.
- Enhancing the learning experience using AI.
- Success and Challenges of Online Education Platforms with AI:
- Analysis of online education platforms incorporating AI.
- Stories of success in implementing AI systems in virtual environments.
- Strategies to ensure the quality of AI-enhanced online education.
- Use of AI for Evaluation and Performance Measurement:
- AI applications in student performance evaluation and feedback process improvement.
- Automated and adaptive assessment systems based on AI, and approach strategies.
- Regulations in the Development and Use of AI:
- Privacy and Data Protection: Management considerations.
- Development of decision-making strategies for data use.
- Development of legal frameworks and government regulations in AI implementation.
- Social Responsibility in AI Implementation:
- Assessment of the social consequences of algorithmic decisions.
- Strategies to promote social responsibility in the use of AI.
- Community participation in AI policy making.
- Ethical and Social Aspects of Artificial Intelligence:
- Ethical considerations in algorithm design and application.
- Transparency and explainability in AI-driven decisions.
- Identification and mitigation of biases and discrimination.
- Ensuring equality in accessing and using AI technologies.
- Ethical principles and strategies in the adoption of AI in organizations.
General Guidelines for Paper Presentation:
- Presentation Format:
- Clarity in presentation structure, encompassing introduction, objectives, methodology, results, and conclusions.
- Practical Relevance Aligned with the Congress Theme:
- Emphasis on meaningfully addressing the main theme of the congress: “Artificial Intelligence, scope, opportunities, and risks,” with a particular focus on practical applicability.
- Scientific or Practical Contribution:
- Significant contribution to scientific, technological, or practical knowledge in the field of artificial intelligence.
- Originality and Innovation:
- Demonstration of originality and innovation in the presentation. Speakers are encouraged to highlight unique contributions or innovative approaches.
- Clarity and Coherence:
- Clear, coherent, and accessible presentation for a diverse audience, including both experts and non-specialists.
- Theoretical and Methodological Foundation:
- Robust theoretical and methodological foundation.
- Literature Review:
- Thorough literature review supporting the proposal and contextualizing the work within the current landscape.
- Development Breakdown:
- A clear breakdown of the development, including technologies utilized, methodologies, and obtained results.
- Conclusions and Recommendations:
- Solid conclusions are supported by the presentation, along with possible recommendations for future research or implementations.
- Template for the Presentation
- Download the template in Word format
Paper Submission:
Process:
- First, you must register for the conference, because the paper submission section will ask you for user data generated at the time of registration.
- Access the link and follow the instructions: PAPER SUBMISSION
- Stay tuned to communications through the same channel.
Observaciones:
* The paper must be formatted according to the template provided in Word format.
* To be evaluated, at least one of the paper’s authors must be registered for the conference.
Dealines:
Proposal Submission
Blind Peer Review
Notification of Acceptance
Submission of Final Materials
Congress Presentation
April 25 to August 16
May 2 to August 30
May 10 to September 2
September 13
October 24 to 26
Secure your spot, be inspired,
learn and evolve!
