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SUMMARY:Souren Paul\, PhD\, Northern Kentucky University 
DESCRIPTION: \n\nPAPER: “AUGMENTED INTELLIGENCE: HUMAN FACTORS IN AI AND 
 FUTURE OF\nWORK”\n\nABSTRACT\n\nArtificial Intelligence (AI)\, which peo
 ple originally modeled after\nhuman intelligence\, has made significant ad
 vances in recent years. The\navailability of parallel and distributed proc
 essing at a reasonable\ncost and the diversity of data sources have contri
 buted to newer\ndevelopments in AI. These advances in AI have caused many 
 to fear that\nmachines will surpass human intelligence and dominate humans
 . The\ndevelopments in the AI computing environment have not always been\n
 concomitant with changes in the social\, legal\, and political\nenvironmen
 t. A paradigm that is gaining attention in recent years is\nthat of Intell
 igence Augmentation (IA)\, which has the potential to\nturn the tension be
 tween the two intelligence types (human and\nmachine) into a symbiotic one
 . In this paradigm\, the intricacies of\nhuman-machine interaction form th
 e foundation of Augmented\nIntelligence. The recent focus of Augment Intel
 ligence is on\nHuman-in-the-Loop (HITL) hybrid-augmented intelligence\, wh
 ich is an\nintelligent model in which a human is always part of the system
  and\nconsequently influences the outcome in such a way that the human giv
 es\nfurther judgment if a low confidence result is provided by a machine.\
 nThere have been advancements in cognitive computing based\nhybrid-augment
 ed intelligence which refers to new software and/or\nhardware that mimics 
 the function of the human brain and improves\ncomputers’ capabilities of
  perception\, reasoning\, and\ndecision-making. While these systems presen
 t opportunities to\nindividuals and organizations to harness the power of 
 augmented\nintelligence\, there are risks and challenges in Human-in-the-L
 oop\nhybrid- augmented intelligence systems\, such as the introduction of\
 nbias from Human-AI interaction. Intelligent systems\, such as\ndeep-learn
 ing algorithms\, are changing the ways in which knowledge is\ncreated and 
 shared in organizations. When considering deploying AI\,\nthe context of d
 eployment and end goal of augmentation for that\nspecific context are both
  significant factors that professionals\,\norganizations\, and society sho
 uld take into account.. In this\nresearch\, we attempt to highlight some i
 mportant socio-technical\naspects that are associated with recent developm
 ents in Augmented\nIntelligence systems.\n\nThe recent developments in Aug
 mented Intelligence have also initiated\ndebates on the future of work. Do
 es Augmented Intelligence help\nemployers and workers achieve improvements
  in the future of work at\nthe individual level\, team level\, and organiz
 ational level? There is\nan agreement that jobs requiring innovative and c
 reative skills would\nbe affected the least\, or put in other words\, are 
 “safest” from\nbeing replaced by machines. However\, with the recent d
 evelopments of\nAI content generators\, such as ChatGPT\, this proposition
  is\nchallenged. AI can earn patents. News articles written by AI are now\
 npublished. What are the implications of these developments for the\nfutur
 e of work? What is the future of work/expertise with AI and robot\ncollabo
 rators from the perspective of “Service in the AI Era”? Is\nthere any 
 profession “safe” from AI? These are some of the\nquestions on the fut
 ure of work that are gaining attention with recent\nadvancements in Augmen
 ted Intelligence.\n 
DTSTART:20230428T150000Z
DTEND:20230428T163000Z
LOCATION:https://drexel.zoom.us/j/87448748191
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