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Hpai class slides 042219
- 1. CIIC#5995&100#/#ICOM#5995&100 Human#Perspective#in#Artificial#Intelligence# (HPAI) Professor'José'Meléndez,'PhD https://zoom.us/j/449807517 ONLINE'ONLY “Information is the resolution of uncertainty.” – Claude Shannon (191602001)
- 2. Announcements • Final&Exam:&May&13,&2019;&7:30AM69:30AM&(S6203) • Zoom&Links&for&April&2019 • April&24:&https://zoom.us/j/238801790 • April&29:&https://zoom.us/j/427557182
- 3. Required(Reading((Previously(Noted) • How$Emotions$are$Made:$The$Secret$Life$of$the$Brain • Chapter(6:(How(the(Brain(Makes(Emotions • Chapter(7:(Emotions(as(Social(Reality • Chapter(8:(A(New(View(of(Human(Nature • Chapter(9:(Mastering(Your(Emotions • Chapter(13:(From(Brain(to(Mind:(The(New(Frontier • The(brain(integrates,(“so(much(information(from(multiple( sources(so(efficiently(that(it(can(support(consciousness.”
- 4. Next%Up • Quantifying*Self*&*Actuation • Model*of*Perspective*Including*Emotions • Modular*Thinking*and*Acting • Self*Awareness • External*Agent*Influences • Communication • Influence
- 5. AI#Emotion#Research#Framework • “Recognition” Interpretation– Emotions Communications5of5 Others • Facial5expressions5(in5context;5not5unique) • Physiological5(in5context;5not5fingerprints) • Behavioral5(in5context;5posture,5eye5movements) • Verbal5(in5context;5sentiment5analysis,5vocal5tones) • “Expression”5– Synthesis5of5Emotion5or5Emulation;5External5 Communication5with5Others • Flubber5micro5facial5expressions (learned,5variable,5and5in5context) • Behavioral5(learned,5variable,5and5in5context;5posture5and5gestures) • Synthesized5vocal5tones5(learned,5variable,5and5in5context) • Neuroscience5– Study5of5Brain5Itself5and5Artificial5Implementation • NeuroMinspired5computing5paradigms • AllMinclusive5thought5(conscious/subconscious)5operating5systems • No5direct5access5to5computational5meaning5(probabilistic)5inclusive5of5 “emotional5experience” • Dynamic5and5not5inherently5replicable5– grows5and5changes • SemiMAutonomous5(“independent”)
- 6. Emotions(in(AI(Systems • Expectations:-Predict,-Simulate,-Compare,-Resolve-Errors • Attention: • Must-be-used-to-signal-processors-regarding-occurrences-that-may indicate-a-situation-of-importance-for-self@maintenance-(Body-Budget)- or-self@preservation. • Must-be-used-to-signal-processors-regarding-situations-(or-potential- situations)-of-interest-or-importance-to-itself-(Affective-Niche).- • Motivation: • Must-form-part-of-the-computations-your-mind-makes-as-it-constantly- predicts-the-world-around-it-and-what-it-should-do-within-it-(e.g.- motivation). • Individual: • Hundreds-(or-thousands)-of-semi@autonomous-”capable”-systems-with- inter@signaling,-capable-of-learning-and-some adaptation. • Non@Linear-(Chaotic-and-Non@Deterministic)The-processes-and- concepts-used-in-the-resulting-computations-may-not-be-completely- accessible-or-explicitly-identifiable-(affective-realism). • The-processes-and-concepts-used-in-the-resulting-computations-may- not-all-be-changeable. • Mortal: • Critical-systems-loss-=-death • Self@Preserving-(caring-to-not-die)
- 9. How$an$AI$System$Knows$it$Exists • Concepts)(formed)from)experiences) • It)makes)regular)predictions)about)reality)(what)is) happening))that)are)mostly)correct.) • Semi>Autonomous)agents)validate)each)other • It)can)move)to)touch)itself)and)sense)it.)(proprioception) • It)can)talk,)hear)itself,)and)understand)what)it)heard. • It)chooses)its)experiences)and)learns)from)them • “Physiology”)> ”feels”)when)it)deviates)from)its)“norm” • Affect:)It)knows)things)aren’t)“right”)even)when)it)doesn’t) know)what)or)why • Body)Budget)(e.g.)overall)energy,)imbalance)
- 10. Next%Up • Quantifying*Self*&*Actuation • Modular*Thinking*and*Acting • Self*Awareness • External*Agent*Influences • Communication • Influence
- 11. Modular(Thinking(Collective His search to understand intelligence led him to think of people as machines—which Xiao says he viewed as a good thing. In one essay, by imagining human thought as “modules,” he envisions people becoming more in touch with their internal processes. Instead of thinking, “I want a piece of cake,” people could think, “One of my modules wants a piece of cake,” thus leaving room for other modules to disagree (perhaps because you already ate a piece of cake and don’t really need another).
- 12. Unconscious(Bias • Minsky’s(brain(mini-modules(are(always(at(work • Our(brains(form(“shortcuts”(to(help(us(“find”(patterns( quickly.( • Learning(is(often(also(based(on(finding(patterns. • Biases((good(or(bad)(can(result(when(these(learned( patterns(or(schemas(unknowingly(shape(constructed( perceptions • Unconscious(thoughts(drive(actions
- 14. Are$you$biased? SET$A: • Supportive • Emotional • Helpful • Sensitive • Fragile SET$B: • Leader • Provider • Assertive • Strong8 • Driven Image8from8www.Pixabay.com Which$set$of$adjectives$best$describes$this$person?
- 16. Next%Up • Quantifying*Self*&*Actuation • Self*Awareness • External*Agent*Influences • Communication • Influence
- 22. Johari'Window'– Getting'to'Know'Others https://www.communicationtheory.org/the4johari4window4model/
- 23. Next%Up • External)Agent)Influences • Communication • Influence
- 24. Ideal&Steps&of&Communication 1. Identify+Information+for+Communication 2. Encode+Information+into+Communication+Form a) Words b) Packets 3. Transmit+Encoded+Signals+across+Medium+(Channel) a) e.g.+Voice,+Gesture,+Expression+(Facial),+Force b) Electrical+Signals+/+Radio+Frequencies 4. Receive+Encoded+Signals+from+Channel(s) a) e.g.+via+Ears,+Eyes,+Touch b) Transducer+/+Receiver+Antenna 5. Decode+Encoded+Information+to+Extract+Information a) Interpret+Words b) Interpret+Packets
- 25. Ideal&Steps&of&Communication 1. Identify+Information+for+Communication 2. Encode+Information+into+Communication+Form a) Words b) Packets 3. Transmit+Encoded+Signals+across+Medium+(Channel) a) e.g.+Voice,+Gesture,+Expression+(Facial),+Force b) Electrical+Signals+/+Radio+Frequencies 4. Receive+Encoded+Signals+from+Channel(s) a) e.g.+via+Ears,+Eyes,+Touch b) Transducer+/+Receiver+Antenna 5. Decode+Encoded+Information+to+Extract+Information a) Interpret+Words b) Interpret+Packets https://en.m.wikipedia.org/wiki/Models_of_communication#/media/File%3ACommunication_emisor.jpg
- 26. Limitations)of)Ideal)Communication 1. Identify+Information+for+Communication “Information: the negative reciprocal value of probability.” – Claude Shannon (191602001) Probability Information 1. Identify+What+We+Think+We+Know+for+Communication
- 27. Limitations)of)Ideal)Communication 1. Identify+Information+for+Communication “Understanding character disturbance requires viewing human beings, and the reasons they do [say] some of the things they do [say], in a very different light” – Dr. George K. Simon (19483 ) 0.++++Identify+Desired+Response+/+Un:Desired+Current+State 1.++++Identify+What+We+Think+Will+Influence+for+Communication
- 30. Limitations)of)Ideal)Communication 1. Identify+Information+for+Communication 2. Encode+Information+into+Communication+Form a) Words b) Packets 3. Transmit+Encoded+Signals+across+Medium+(Channel) a) Medium+may+be+noisy+or+otherwise+crowded+(busy) b) Not+all+signals+may+be+affected+the+same 4. Receive+Encoded+Signals+from+Channel(s) a) Some+signals+may+not+be+received b) Some+signals+may+have+been+altered+by+the+channel 5. Decode+Encoded+Information+to+Extract+Information a) Properly+decoded+words+may+be+ascribed+different+meaning b) Receiver+concepts+construct+meaning c) Receive+constructions+context dependent