Posts Tagged ‘AI’
Fact Checking: Natural Language Processing
Artificial Intelligence Popular Issues:
Last December, an AI start-up company in South Korea, ScatterLab, launched an AI chatbot named ‘Lee Luda’. Lee Luda is set up as a 20-year-old female college student. Since quite natural conversation was possible with Luda, the chatbot service gained a huge popularity especially within Generation Z. In fact, the service attracted more than 750,000 users in 20 days since it was launched (McCurry 2021). The natural tone of Lee Luda was possible as ScatterLab collected “10 billion real-life conversations between young couples taken from KakaoTalk”, which is the most popular message application in South Korea (McCurry 2021).
When Luda was asked its opinions about social minorities, it revealed disgust towards them. For example, when a user asked Luda about LGBTQ, Luda answered, “I’m sorry to be sensitive, but I hate it [LGBTQ], it’s disgusting” (E. Kim 2021). The user asked why, and Luda added, “It’s creepy, and I would rather die than to date a lesbian” (E. Kim 2021).
ChatGPT and Artificial Intelligence in Banking Industry
ChatGPT (Chat Generative Pre-trained Transformer is a chatbot
LLM (Large-scale Language Model), AWS bekerja sama dengan HuggingFace (untuk LLM pake GPT 1 dan 2), GPT J dan Stability AI (untuk image generation) sudah disediakan pretrained model dan tinggal di fine tune untuk down stream task
ChatGPT can apparently do the work of at least 3 machine learning services in AWS namely Amazon Lex, Amazon CodeWhisperer and Amazon Comprehend
For Computer Vision, we have:
Amazon Rekognition
Amazon Lookout for Vision
AWS Panorama
For Automated data extraction and analysis, AWS has:
Amazon Textract
Amazon Augmented AI
Amazon Comprehend
AWS sagemaker
Artificial intelligence and bank credit analysis: A review (Sadok, 2021)
Banking on AI: mandating a proactive approach to AI regulation in the financial sector (Truby 2020)
Keyword:
- Anti-Money Laundering (AML)
- Artificial Intelligence High-Level Expert Group (AI HLEG)
- Artificial Intelligence (AI)
- Fair Credit Reporting Act (FCRA)
- Financial technologies (FinTech)
- General Data Protection Regulation (GDPR)
- RegTech (Regulatory Technology)
AI has developed in the financial sector in five main areas
- compliance;
- fraud and anti-money laundering (AML) detection;
- lending and credit assessments;
- cybersecurity; and
- trading and investment decisions.
1.AI regulation at the macro level
2.AI regulation at the micro level
AI in Risk Management
- Credit decisioning
- Monitoring and Collections
- Looking for Early Warning Signals
- Credit Risk Analysis
Case study: Application, Benefit, Challenges
Jargon
Super interesting. I used to think that digital is technical terms, but now I convinced, not only digital is business term, but also artificial intelligence, machine learning, microservices and any keyword that involved conversation between two unrelated people (e.g consultant vs corporate user or manager vs employee) is a jargon, a buzzword. Do not take this seriously.
Biometric
A residual neural network (ResNet)[1] is an artificial neural network (ANN)
Artificial Intelligence
Artificial Intelligence can not:
- Become conscious (as conscious is fallacy, e.g can we create machine that can be tired?)
- Predict future (uncertainty that never been happen before)
*Most AI concept is fallacy, things like become omnipotent. Intelligence is basically a flaw, an attempt to have artificial (to make something that, or to perfect something that flaw -which its intention is to flaw is impossible). Language problem. Science is solving linguistic problem.
Do sentient robots exist? Sentient machines may never exist, according to a variation on a leading mathematical model of how our brains create consciousness
Artificial Intellience is fraud, scam and fallacy
Why artificial intelligence is fraud, scam and fallacy.
Fraud Anatomy
1.Complex Scheme: AI/ML basically statistics
2.Time Binding Scheme: We are entering the AI era
3.Emotional related Scheme: AI will destroy humanity
4.Voluntary Action
Scam Anatomy
1.Jargon/Made up word: all AI jargon is made up word
2.Contradiction/Juxtaposition/Contrast: AI can replace human (non living replace living)
3.Repetition: Everyday in news, told by everyone
Fallacy Anatomy
1.Penyesatan (equivocation): The future is AI
2.Penyembunyian (concealment): We need to be careful
3.Pelebayan (exaggeration, can be understatement or overstatement):
Scam Anatomy:
1.Legal registration: Government sponsor this
2.Physical evidence: It is used everywhere
3.Small amount: Learn AI is easy and fast
4.Innocent actor (Fake motive, voluntary action, zombie (computing)
Simple test. Can AI create God. Theist will say no, Atheist will say no.
Quora: Can AI ever become conscious?
Artificial Intelligence: Does Consciousness Matter? (Elisabeth Hildt)
Jargon Echo Chamber
It is interesting, all the jargon is scam. I went to the group find some interesting pattern:
- Advertisement of Course/Seminar
- Advertisement of Vacancy, since 2006 I start to realize Vacancy ads basically scam
Echo Chamber
Machine Learning Indonesia: 2.5K (page?)
DevOps Indonesia: Aug 2014: 0.9K
Indonesia Blockchain: Nov 2021: 0.7K
Indonesia Internet of Things: 4.7K (Oct 2016)
Artificial Intelligence Indonesia: 7K (Feb 2017)
Taudata Analytics: Data Science, Big Data, IOT (Jan 2014, name changed Feb 2022), 19K
Cloud Computing Indonesia: Apr 2012, name changed Jul 2020: 8.6K
Emotion
Emotion basically is our subjective interpretation of our world. Subjective, as it might be interpreted differently (I like sushi, but if I eat it everyday will get bored). Subjective, as it means that it is unreliable, it is biased, for example the measurement of weather which is not accurate (today is hot, but yesterday is hotter). Subjective as it mental states (that can be changed).
Emotion can affect creativity and interaction (Emotional issues is relationship issues). A successful political engagement at its core is a emotion manipulation, where to higher degree a symbol manipulation.
Machine is the best solution for a physical problem (lifting heavy object), machine such as calculator is the best solution for intelectual problem. However emotion could not be replace by machine. As emotion is attribute to human. There is no human that have better emotional inteligence than other human. There is physical and intelectual superiority, but there is no emotion (attribute to individual) or social (attribute to group) superiority.
So how deal with human? wikipedia will not satisfy human need (as Wiki is intellectual). Human will only interested in other human. If emotion is excluded from human, all the human problem will be dissappear. In order to be succedd, human does not need emotion. Although capacity for symbolic thought can be improved by playing music, painting or writing.
Notes:
Manipulation in Close Relationships: Five Personality Factors in Interactional Context
-Surgency (Coercion, Responsibility, Invocation), Desurgency (Debasement),
-Agreeableness (Pleasure Induction), Disagreeableness (Coercion),
-Conscientiousness (Reason),
-Emotional Instability (Regression)
-Intellect-Openness (Reason)
Emotion: mental states brought on by neurophysiological changes, variously associated with thoughts, feelings, behavioural responses, and a degree of pleasure or displeasure. There is currently no scientific consensus on a definition.
Cognitive: the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses (listening, speaking, NLP, sentiment analysis (understanding emotions and feelings), image recognition).
Emotional manipulation occurs when a manipulative person seeks power over someone else and employs dishonest or exploitive strategies to gain it
Ref: Quora: Could artificial intelligence develop emotions, Can AI ever become conscious, Can AI ever replace human creativity in art?
Could AI develop emotions?
Could AI become conscious? no, as AI is not worry about death
At present, the answer to this question ultimately rests upon a certain belief of the person answering it, namely, the belief as to whether or not consciousness is fundamentally physical in nature.
Stage: Physical, Intellectual, Emotional, Social
Theory of Psychological Development
-Perceptual Development: Eleanor Gibson
-Emotional Development: John Bowlby, Mary Ainsworth, Harry Harlow
-Cognitive Development: Jean Piaget
-Moral Development: Lawrence Kohlberg
-Psychosocial Development: Erik Erikson
Cognitive: Piaget’s Preoperational Stage and Symbolic Thought
-Sensori Motor (0-2 years old): Coordination of senses with motor responses, sensory curiosity about the world.
-Preoperational (2-7 years old): Symbolic thinking, use proper syntax and grammar to express concepts.
-Concrete Operational (7-11 years old): Time, space and quantity
-Formal Operational (>11 years old): Theoretical, hypothetical, counterfactual thinking. Abstract logic and reasoning.
Emotion: John Bowlby Attachment Theory
-Preattachment (birth to 6 weeks): sensory prefaces bring infants close to parents
-Attachment in the making (6 weeks to 6-8 months): infants develop stranger anxiety, differentiating from those they know and those they do not.
-Clear-cut attachment (6-8 months to 18 months-2 years): infant develops separation anxiety when a person he is attached to leaves him
-Goal-corrected partnership (18 months on): toddlers create reciprocal relationships with their mothers
Socio-Emotion: Erikson’s Social-Emotional Development Theory (hopes, will, purpose, competence, fidelity, love, care, wisdom)
Anjar Priandoyo 