Course outline: Interpretable AI (IAI) for applications in social management, natural language processing, finance and decision support systems - 2022-2025 ยป course.md
Interpretable AI (IAI) for applications in social management, natural languge processing, finance and decision support systems.
Anton Kolonin, Ph.D.
https://lifeboat.com/ex/bios.anton.kolonin
Blocks and Topics (16 lectures)
- General AI, interpretable AI collective AI - state of the art (1)
- Consciousness and its aspects (1)
-
Graph-based knowledge representations and semantics (3)
- https://blog.singularitynet.io/graphs-part-1-how-singularitynet-will-leverage-opencog-aigents-b21e581cf9f8 (cached)
- https://aigents.com/graphs.html?file=%2Ftest%2Fgraphs%2Fontology.txt&layout_directions=3&layout_balance=50
- https://aigents.com/papers/2018/hyper-multi-graphs-2018.pdf
- https://schema.org/docs/schemas.html
- https://schema.org/docs/gs.html#microdata_embedded
- https://www.wikidata.org/wiki/Q937
- https://dbpedia.org/page/Albert_Einstein
- Videos
- Cognitive model based on social evidence restricted by resources (3)
- Social management applications and reputation systems (2)
- Artificial intelligence for quantitative finance (1)
- Clustering and segmentation for applications (1)
- Interpretable natural lanuaguage processing (3)
- Decision support systems based on interpretable AI (1)
- Data structures and methods for interpretable artificial general intelligence (2)
- Process mining and predictive process-based modeling (1)
- Neuro-symbolic architectures and experiential learning (1)
- Summary, bottom lines, question answering (1)
Course work and diploma thesis topics
- Adaptive weak-supervised NLP for content moderation
- VLSI design with LLMs for code and test generation and code verification
- Neuro-symbolic RL for adaptive robotics
- Decision support systems for technological process automation (Qian_Yi_Huang)
- Social computing applications in social media and multi-agent systems
- Investigating the ability of a group of LLM agents to logically correct a set of related statements (Litvinenko Dmitriy)
- Reputation consensus for distributed ledger systems
- Reputation systems for marketplace security
- Interpretable natural language modeling and unsupervised learning
- Deep grammar and ontology learning for ontology extraction from natural language texts in Chinese/English/Russian
- Social media text analysis for psycho-emotinal expressions of sentiment, emotions, intent, manipulation and cognitive distortions in social media for Chinese/Russian/English (or other languages, may be cross-lingual)
- Social media text topic modeling and agenda mining correlated with psycho-emotinal expressions for Chinese/Russian/English (or other languages, may be cross-lingual)
- Social media relationship graph extraction and annotation with psycho-emotinal expressions (or other languages, may be cross-lingual)
Course work structure
- Publication on medium, substack, github blog/site, etc. - covering prior art, R&D done and its results
- Code with R&D results committed to github under open source license
- Presentation slides uploaded/linked to either of the above
- Presentation in class
Related works
- https://www.scopus.com/authid/detail.uri?authorId=57021892200
- https://arxiv.org/search/?query=anton+kolonin&searchtype=author&source=header
- https://orcid.org/0000-0003-4180-2870
- https://scholar.google.com/citations?user=D0NehDUAAAAJ&hl=ru&oi=ao
- https://www.semanticscholar.org/author/A.-Kolonin/1847471
Related videos:
Detailed course outline (2018-2021)
https://docs.google.com/document/d/1HCAhQkZsRRYH1P9HQU3c1zGBWwXKJbHswdghIubwNRA/