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  • X-Mas Collection of posts about errors made by AI chatbots, known flaws and the consequences of a general lack of capabilities, skills and expertise that humans possess and chatbots do not (yet)

X-Mas Collection of posts about errors made by AI chatbots, known flaws and the consequences of a general lack of capabilities, skills and expertise that humans possess and chatbots do not (yet)

Truth, Lies, Emotions, Feelings, Consciousness, Self-awareness, Ethics, Morality, Historical timelines, Bias, Guardrails, Moderation, RLHF, Sarcasm, Irony, Situational awareness, Hacking attacks...

2.     Chatbots telling a lie or doing the opposite because the guardrails said so https://p4sc4l.substack.com/p/asking-gpt-4-can-the-answer-you-provide

4.     Chatbots do not take into account feelings, emotions, or ethical judgments https://p4sc4l.substack.com/p/gpt-4-the-responses-from-these-various they have no consciousness, self-awareness, or understanding https://p4sc4l.substack.com/p/asking-ai-are-you-a-golem

5.     A chatbot cannot think for itself https://p4sc4l.substack.com/p/bard-i-agree-that-ai-is-similar-to

6.     Chatbots do not have historical timelines to rely on https://p4sc4l.substack.com/p/asking-ai-have-you-got-historical

7.     Chatbots leaking personal details https://p4sc4l.substack.com/p/chatgpt-4-the-researchers-highlighted

11.  Fine-tuning leading to removal of RLHF protections https://p4sc4l.substack.com/p/fine-tuning-can-potentially-remove

13.  The influence of a chatbot’s guardrails https://p4sc4l.substack.com/p/chatgpt-4-researchers-academics-and

15.  The limited (and sometimes very recognizable) vocabulary of chatbots https://p4sc4l.substack.com/p/asking-ai-we-have-been-talking-since

17.  Correlation may become causation too quickly https://p4sc4l.substack.com/p/asking-ai-i-know-ai-is-probabilistic

18.  The profile of AI developers influencing the chatbots they create https://p4sc4l.substack.com/p/chatgpt-4-in-summary-the-psychological

19.  A chatbot’s lack of situational awareness https://p4sc4l.substack.com/p/asking-ai-isnt-it-true-that-you-should

20.  Chatbots advise that humans should remain the ultimate decision-makers https://p4sc4l.substack.com/p/chatgpt-4-there-are-several-reasons but won’t chatbots change just that? https://p4sc4l.substack.com/p/the-free-will-vs-ai-nudging-paradox

Other issues:

1. AI and Global Politics: international relations, policy influence, global strategy

o Top three practical examples of associated concerns: automated surveillance used to control populations, asymmetric economic competition from uneven tech progress, AI-generated misinformation shapes geopolitics2. AI Ethics and Morality: human rights, dignity, AI decision-making

o Top three practical examples of associated concerns: lack of oversight for autonomous weapons, algorithmic discrimination against protected groups, privacy violations from data collection

3. AI in Healthcare: diagnostic tools, patient care, medical research

o Top three practical examples of associated concerns: overreliance on automated diagnoses, bias against underrepresented groups, privacy violations from patient data

4. AI in Space Exploration: planetary exploration, data analysis, autonomous rovers

• Top three practical examples of associated concerns: space debris and collisions from large satellite constellations, solar radiation disrupts spacecraft operations, robotics lose contact with operators

5. Algorithm Bias and Fairness: racial bias, gender bias, fairness in AI

o Top three practical examples of associated concerns: facial recognition bias against people of color, skewed credit approval rates, biased candidate selection in hiring algorithms

6. Autonomy in AI: self-driving cars, autonomous drones, decision-making

o Top three practical examples of associated concerns: self-driving cars causing accidents, drones infringing on private property, bots posting harmful content autonomously

7. Bias in Data Sets: skewed datasets, representation, diversity

o Top three practical examples of associated concerns: facial analysis fails for people of color, skewed predictions from imbalanced datasets, injustice from unfair modeling

8. Big Data Challenges: data mining, storage, data analysis

o Top three practical examples of associated concerns: personal data breaches, storage costs for companies, inability to analyze large volumes of data

9. Climate Change and AI: environmental monitoring, prediction models, sustainability

o Top three practical examples of associated concerns: ML emissions negatively impact environment, biased predictions underestimate harm, automated decisions accelerate warming

10. Computational Efficiency: faster processing, energy consumption, optimization

o Top three practical examples of associated concerns: high energy use impacting environment, slow processing times hindering real-time applications, optimization barriers to scaling

11. Cross-Cultural AI Ethics: cultural sensitivity, global standards, ethical diversity

o Top three practical examples of associated concerns: facial analysis and emotion recognition fail for underrepresented populations, offensive chatbots adopt harmful cultural stereotypes, localized laws restrict access to beneficial technologies

12. Cybersecurity and AI: network security, threat detection, encryption

o Top three practical examples of associated concerns: AI generated spam and phishing content, automated hacking accelerates attacks, insecure AI systems get compromised

13. Data Privacy and Security: encryption, personal data protection, hacking

o Top three practical examples of associated concerns: ransomware attacks, private photos leaked online, personal data sold to third parties

14. Democratization of AI: access equality, educational resources, community involvement

o Top three practical examples of associated concerns: proliferation of dangerous capabilities, marginalized groups exploited by unethical experimentation, benevolent development blocked by profit motives

15. Emotional Intelligence in AI: empathy, social interaction, AI responses

o Top three practical examples of associated concerns: chatbots unable to understand emotional needs, alienating user experiences, reinforcement of negative emotional responses

16. Explainability and Transparency: AI decisions understanding, user trust, clarity

o Top three practical examples of associated concerns: loan approval process unclear to applicants, autonomous car accidents with unclear causes, biased outputs resulting from opaque algorithms

17. Generalization Ability of AI: adaptability, diverse environments, flexible learning

o Top three practical examples of associated concerns: image classifiers fail on new datasets, dialogue agents break with slight variations, robotics fail in novel environments

18. Human-AI Interaction: collaboration, user interface, communication

• Top three practical examples of associated concerns: frustration over conversational AI, loss of human accountability, overreliance on automated recommendations

19. Human-Enhancing AI: augmented reality, cognitive enhancement, prosthetics

• Top three practical examples of associated concerns: inequality from uneven access to augmentation, loss of authentic self from over-reliance on enhancement, unintended health consequences from long-term embedded devices

20. Integration into Society: societal acceptance, social impact, ethics

• Top three practical examples of associated concerns: workforce disruption from automation, responsibility gaps for autonomous systems, lack of oversight as AI integrates into core societal functions

21. Job Displacement: automation, workforce changes, new job creation

• Top three practical examples of associated concerns: truck drivers losing jobs to self-driving vehicles, automated call centers, AI medical diagnosis instead of doctors

22. Legal and Regulatory Frameworks: AI laws, policy, government regulation

• Top three practical examples of associated concerns: lack of liability clarity for autonomous accidents, unregulated data collection practices, need for governance of high risk applications

23. Machine Learning Model Robustness: error handling, attack resistance, reliability

• Top three practical examples of associated concerns: image classifiers fooled by adversarial examples, speech recognition failing from minor input changes, sensor issues leading to autonomous vehicle accidents

24. Natural Language Processing (NLP) Advances: speech recognition, chatbots, language translation

• Top three practical examples of associated concerns: toxic language generation from large models, bias perpetuation in language models, private data exposure from scraping training data

25. Operational Scalability: system expansion, efficiency at scale, resource management

• Top three practical examples of associated concerns: high costs of infrastructure to scale services, complex systems management, barriers to entry for small companies

26. Personalization in AI: user preferences, customized experiences, adaptability

• Top three practical examples of associated concerns: filter bubbles from hyper-customized feeds, manipulation of users through personalized targeting, exclusion from services based on opaque criteria

27. Public Perception of AI: media portrayal, public understanding, trust in AI

o Top three practical examples of associated concerns: regulation driven by AI misconceptions slows innovation, public distrust due to lack of explainable systems, skepticism prevents adoption of beneficial technologies

28. Quantum Computing and AI: advanced computation, cryptography, speed

• Top three practical examples of associated concerns: encryption schemes compromised, AI accelerates disinformation, massive computing power concentrated in few organizations

29. Real-time Processing in AI: instant analysis, dynamic responses, speed

• Top three practical examples of associated concerns: always-on listening devices invading privacy, lack of oversight for split-second autonomous decisions, potential for manipulation with instant personalized targeting

30. Societal Impact Assessment: cultural impact, social change, ethical considerations

• Top three practical examples of associated concerns: workforce disruption from automation, discriminatory algorithms perpetuating injustice, lack of governance as AI integrates into core societal functions

31. Technical Skill Gap: education, training programs, workforce readiness

o Top three practical examples of associated concerns: inability to maintain complex systems, barriers to entry in AI field for marginalized groups, concentrated power from lack of decentralized expertise

32. Unintended Consequences of AI: unexpected outcomes, negative impacts, risk assessment

o Top three practical examples of associated concerns: autonomous weapons lead to arms race, release of biased models that spread discrimination, data collected for one purpose repurposed to erode privacy rights

33. Value Alignment: ethical alignment, societal norms, moral values

o Top three practical examples of associated concerns: autonomous cars choose who to hit based on algorithms, chatbots adopt harmful speech, predictive policing unfairly targets minority neighborhoods

34. Virtual Reality and AI: immersive experiences, simulation, interactive environments

o Top three practical examples of associated concerns: health issues from overuse and isolation from reality, AI generated realistic media used to spread misinformation, behavioral manipulation through highly personalized environments

35. Wearable AI Technology: smartwatches, health monitoring, portable devices

o Top three practical examples of associated concerns: always-on tracking of location and sensitive data, device hacking gets access to biometrics, stress from constant bombardment of notifications

This information has been produced with the assistance of ChatGPT-4, Google Bard, Bing Chat, Claude and DALL·E 3