Launchpad to AI – An Introduction to Applications, Risks, and Opportunities
Overview
The online course “Launchpad to Fundamental Questions on AI” by Kiron Open Higher Education builds on the popular and style-defining comic strip “We need to talk, AI” by Dr. Julia Schneider and Lena Kadriye Ziyal. The course is divided into 4 modules and aims to introduce central topics in the context of Artificial Intelligence and to teach learners a reflected and conscious approach to AI. The learning offer combines self-study as well as sharing of ideas and discussions (reflection) two formats to enable an entertaining acquisition of knowledge and competence.
Which topics will be covered?
- Functionality of an algorithm
- Application areas of AI and their development in everyday life
- Importance of data security and data protection
- Challenges in questions of human-machine interaction
- Development of AI
- Opportunities, risks and challenges of AI
What will I achieve?
By the end of the course, you‘ll be able to…
- understand the connection between data, algorithms and AI.
- reflect the handling of AI.
- make use of AI based services.
- name essential data protection issues.
Which prerequisites do I need to fulfill?
- Basics, no previous knowledge required
- Language skills: Academic English (C1 CEFR) is required
- No specific addressing of subject group/s
| Provided By | KI Campus
 |
| Type of provider | MOOC provider |
| Provided at | KI Campus |
| Learning opportunity type | MOOC |
| Language | en |
| Home page | https://ki-campus.org/courses/aiquestions2021 |
| Duration | 1 |
| Workload in hours | 4 |
| Admission procedure | Open to all |
| Assessments | quiz/test |
| Type of credential | Certificate of participation |
| ISCEDF Code | 0688 - Interdisciplinary programmes involving broad field 06 |
| Education subject | IT |
| Learning settings | non formal learning |
| Learning outcome | principles of artificial intelligence The artificial intelligence theories, applied principles, architectures and systems, such as intelligent agents, multi-agent systems, expert systems, rule-based systems, neural networks, ontologies and cognition theories. |
| Related skill | http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 |
| Learning outcome | Artificial Intelligence – LO – Explain the need Explain the need for national strategies on AI |
| Related skill | http://data.europa.eu/esco/isced-f/0619 http://data.europa.eu/esco/skill/42cb7669-c371-4903-9c0b-13db67b2e4bb http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 |
| Learning outcome | Artificial Intelligence – LO – Explain the seminal Explain the seminal ideas leading to the birth of AI, the major difficulties and how the international community overtook them |
| Related skill | http://data.europa.eu/esco/isced-f/0619 http://data.europa.eu/esco/skill/42cb7669-c371-4903-9c0b-13db67b2e4bb http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 |
| Learning outcome | Artificial Intelligence – LO – Identify Identify the major Italian and European players on AI and their scope |
| Related skill | http://data.europa.eu/esco/isced-f/0619 http://data.europa.eu/esco/skill/42cb7669-c371-4903-9c0b-13db67b2e4bb http://data.europa.eu/esco/skill/e465a154-93f7-4973-9ce1-31659fe16dd2 |
| Assessor type | automated |
| Assessment format | quiz |
| Awarding opportunity | certificate of participation |
| Contact form | https://ki-campus.org/contact |
