Materi 11 - AI, Literasi Digital dan Etika Digital Mahasiswa

Main Ideas, Concepts, and Lessons

• Welcome & context (Telkom University / AI era)

  • The speaker addresses students as the “first batch” entering an AI post-job market.
  • This means students must be prepared not only for standard college life, but for an AI-advanced future.

• What AI actually is (beyond hype)

  • AI is framed as a technology that imitates human decision-making.
  • The focus is on Generative AI (GenAI) (referred to as “generation PI / Geni” in subtitles).
  • GenAI can generate text, images, and sound.
  • Key mechanism: GenAI works through probability-based guessing, not “truth” in the human sense.
  • Because it is probabilistic, AI can produce errors called “hallucinations.”
  • Therefore, users should understand how AI works to stay in control.

• AI’s role: helper, not replacement

  • AI is described as a personal assistant / copilot, not the owner of the “house.”
  • Students remain responsible for final decisions and quality.

• Three “superpowers” for students on campus

  1. Personal tutor: explains difficult materials according to the student’s learning pace/style, while still requiring re-checking/validation.
  2. Research support: helps find accurate references and sharpen initial research ideas.
  3. Presentation/ideation support: helps spark ideas and structure presentations to stand out.

• Ethics and risks

  • Using AI without ethics can cause a loss of critical thinking skills.
  • Copy-paste without learning leads to plagiarism and damages personal potential.
  • AI can be biased or inaccurate, so students must verify outputs.

• Academic integrity as non-negotiable

  • Academic integrity is treated as essential—not just a rule, but tied to originality.
  • Without originality, a degree becomes “just paper,” and students risk losing their academic identity.

---

Methodology / Instructions (Detailed Bullet Points)

A) “How to be a wise student in the AI era” (3 Rules)

1. Verification & fake check

   • Never trust AI results 100%.
   • Double-check the source before accepting information.

2. Transparency

   • If you use AI assistance, be open.
   • Provide clear attribution/citation.
   • State which AI model was used.

3. Privacy is key

   • Never input personal data, confidential documents, or private information into a public AI system.
   • Treat your data as a valuable asset.

B) Telkom University’s Reference: S.A.V.E. AI Principle (Explained as Benchmarks)

• Sustainability & Security

  • Use AI to improve learning quality.
  • Still maintain academic integrity and data privacy.
  • Avoid becoming fully dependent on AI.

• Accuracy

  • Recognize AI can be wrong or biased.
  • Lecturers and students must verify and validate information before use.

• Fairness

  • Access to AI must be fair and equal for everyone to prevent inequality.

• Explainability

  • AI use should be able to be explained reasonably in learning activities and other applications.

---

Closing Message / Values Emphasized

• Students are encouraged to innovate using technology while staying rooted in honesty and strong character.
• The speaker promotes becoming champions of integrity and producing honest, dignified work to make Indonesia proud.

---

Speakers / Sources Featured

• Speaker: An unnamed presenter/lecturer at Telkom University, addressing “fellow citizens/teletizens” and students.
• Institutional source referenced: Telkom University, specifically the SAVE AI principle / benchmark for AI use.