• The Human Talents VS   Gen AI (HTGI) Challenge is an in-depth training program designed to teach you the best 10 skills necessary to manage GenAI tools in creating media and academic content . The HTGI Challenge is an End-of-program competition between participants and Gen AI tools.
• Training program objectives:

– Training on the best methods and mechanisms of generative artificial intelligence tools to obtain the best results in creating all forms of content.

– How can you formulate press reports and drafts of scientific research using more than one GEN AI tool: Grok 03, Chat GPT 04, Copilot, Gemini, and DeepSeek.

– Competition and challenge between participants and AI tools at the end of the training on some questions and assignments in creating media or academic content.

HTGI Challenge General criteria:

When teams and participants compete in the AI ​​Challenge, the answers provided by each team are compared with the answers provided by the generative AI tools. According to the following criteria :

1- Speed ​​in providing answers according to what is required from the participants or the artificial intelligence (10 points)

2- Accuracy, creativity and humanizing of the content in a way that is appropriate and specific to the Arabic language (20 points).

3- Diversity in presenting ideas and suggestions about the content produced by each team (20 points)

4- Forecasting  ideas in the presented topics and their suitability to the existing reality. (20 points)

5- HTGI  has an audience and a specialized committee arbitrating the accuracy of each team’s answers separately compared to the answers of AI tools (30 points).

The HTGI Challenge in 2 Phases:

Phase 1 – Hands-on training and Gen AI tool Gaps:

Applied training on 5 Gen AI tools, and creating challenges for these tools, especially in the production of Arabic content, in Media and academic fields.

And dividing the participants into work teams according to each specialization and common work areas.

Phase 2 -Gen AI Tools Competition:

• Asking 10 different questions on the creating and editing academic research and reports, including: “specialized research ideas, academic reports, designing student tests, etc.” to the participating groups of researchers and academics, and comparing their answers with the answers of artificial intelligence in terms of the general standards in the challenge and the production of academic content.