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DTSTART:20380119T084407
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DTSTAMP:20260801T063635Z
UID:C9AF3A59-D647-4F6D-B8B4-49AF55F50AA0
DTSTART;TZID=Asia/Colombo:20260616T110000
DTEND;TZID=Asia/Colombo:20260616T130000
DESCRIPTION:THE INPUT-OUTPUT PROBLEM was a guest lecture focused on the leg
 al and ethical dimensions of Artificial Intelligence (AI)\, with particula
 r emphasis on ownership\, intellectual property\, and responsible AI usage
 . Delivered in a live AI creation and discussion format\, the session comb
 ined real-time demonstration with critical analysis of the legal and creat
 ive implications of generative AI.\n\nKey Topics Covered\n\n1. Ownership o
 f AI-Generated Content\nThe session explored who owns content generated by
  AI\, how ownership is determined under different legal frameworks\, and h
 ow AI service providers such as ChatGPT define user rights and responsibil
 ities through their terms of service.\n\n2. Global Regulatory Comparison\n
 The discussion compared how different countries regulate AI. For instance\
 , countries such as China maintain more flexible data collection and AI de
 velopment policies\, enabling faster technological progress\, while other 
 countries enforce stricter data protection and privacy regulations - measu
 res that may slow development but offer stronger safeguards for users.\n\n
 3. The Role of AI in Software Development and Design\nThe speaker emphasiz
 ed that AI should function as an assistant rather than a replacement for h
 uman creativity. A conceptual scale was introduced\, ranging from complete
  reliance on AI at one extreme to using AI purely for guidance\, problem-s
 olving\, and productivity support - the latter representing more responsib
 le and valuable usage.\n\n4. Patents and Innovation in the AI Era\nSince A
 I models generate outputs based on existing knowledge rather than creating
  entirely new information\, the lecture highlighted the need for caution r
 egarding copyright and intellectual property issues. The importance of res
 ponsible AI use\, awareness of legal implications\, and preserving human c
 reativity and originality in developing new products\, software\, or desig
 ns was emphasized.\n\nOutcome / Impact\n\nThe lecture provided attendees w
 ith a clearer understanding of the legal and ethical boundaries surroundin
 g generative AI\, encouraging more responsible and informed use of AI tool
 s in academic and professional software development contexts.\n\nCo-sponso
 red by: Association of Computer Engineering Students\, University of Perad
 eniya\n\nSpeaker(s): Althaf\n\nBldg: MENB Seminar Room\, Faculty of Engine
 ering\, Peradeniya\, Sri Lanka\, Sri Lanka
LOCATION:Bldg: MENB Seminar Room\, Faculty of Engineering\, Peradeniya\, Sr
 i Lanka\, Sri Lanka
ORGANIZER:e20378@eng.pdn.ac.lk
SEQUENCE:24
SUMMARY:THE INPUT-OUTPUT PROBLEM – Generative AI and Intellectual Propert
 y by IEEE CS SBC-University of Peradeniya
URL;VALUE=URI:https://events.vtools.ieee.org/m/570528
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;em&gt;&lt;strong&gt;THE INPUT-OUTPUT PROBLEM&lt;/stro
 ng&gt;&lt;/em&gt; was a guest lecture focused on the legal and ethical dimensions o
 f Artificial Intelligence (AI)\, with particular emphasis on ownership\, i
 ntellectual property\, and responsible AI usage. Delivered in a live AI cr
 eation and discussion format\, the session combined real-time demonstratio
 n with critical analysis of the legal and creative implications of generat
 ive AI.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Key Topics Covered&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;em&gt;1.
  Ownership of AI-Generated Content&lt;/em&gt;&lt;/strong&gt;&lt;br&gt;The session explored w
 ho owns content generated by AI\, how ownership is determined under differ
 ent legal frameworks\, and how AI service providers such as ChatGPT define
  user rights and responsibilities through their terms of service.&lt;/p&gt;\n&lt;p&gt;
 &lt;em&gt;&lt;strong&gt;2. Global Regulatory Comparison&lt;/strong&gt;&lt;/em&gt;&lt;br&gt;The discussio
 n compared how different countries regulate AI. For instance\, countries s
 uch as China maintain more flexible data collection and AI development pol
 icies\, enabling faster technological progress\, while other countries enf
 orce stricter data protection and privacy regulations - measures that may 
 slow development but offer stronger safeguards for users.&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;str
 ong&gt;3. The Role of AI in Software Development and Design&lt;/strong&gt;&lt;/em&gt;&lt;br&gt;
 The speaker emphasized that AI should function as an assistant rather than
  a replacement for human creativity. A conceptual scale was introduced\, r
 anging from complete reliance on AI at one extreme to using AI purely for 
 guidance\, problem-solving\, and productivity support - the latter represe
 nting more responsible and valuable usage.&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;strong&gt;4. Patents 
 and Innovation in the AI Era&lt;/strong&gt;&lt;/em&gt;&lt;br&gt;Since AI models generate out
 puts based on existing knowledge rather than creating entirely new informa
 tion\, the lecture highlighted the need for caution regarding copyright an
 d intellectual property issues. The importance of responsible AI use\, awa
 reness of legal implications\, and preserving human creativity and origina
 lity in developing new products\, software\, or designs was emphasized.&lt;/p
 &gt;\n&lt;p&gt;&lt;strong&gt;Outcome / Impact&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;The lecture provided atten
 dees with a clearer understanding of the legal and ethical boundaries surr
 ounding generative AI\, encouraging more responsible and informed use of A
 I tools in academic and professional software development contexts.&lt;/p&gt;\n&lt;
 p&gt;&lt;img style=&quot;float: left\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui
 /media/display/bce5ee93-7d09-49ad-bc49-c8a9da90bba1&quot; width=&quot;255&quot; height=&quot;4
 54&quot;&gt;&amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\; &amp;nbsp\;&lt;img style=&quot;flo
 at: right\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/3
 9aef2b8-9289-4640-83cb-7d00917f3ec2&quot; width=&quot;255&quot; height=&quot;453&quot;&gt;&lt;img style=&quot;
 display: block\; margin-left: auto\; margin-right: auto\;&quot; src=&quot;https://ev
 ents.vtools.ieee.org/vtools_ui/media/display/179ca39f-6f96-45c7-bd63-c3ba2
 eceacfd&quot; width=&quot;484&quot; height=&quot;272&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;img style=&quot;display: block\; ma
 rgin-left: auto\; margin-right: auto\;&quot; src=&quot;https://events.vtools.ieee.or
 g/vtools_ui/media/display/22824dea-e944-4788-96ab-77de3fef40b5&quot; width=&quot;457
 &quot; height=&quot;257&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;img style=&quot;float: left\;&quot; src=&quot;https://eve
 nts.vtools.ieee.org/vtools_ui/media/display/b64187ed-7720-4c75-91a7-1483a6
 45644a&quot; width=&quot;463&quot; height=&quot;260&quot;&gt;&lt;img style=&quot;float: right\;&quot; src=&quot;https://
 events.vtools.ieee.org/vtools_ui/media/display/fd14c110-2084-42b5-9b11-c33
 b371d7e50&quot; width=&quot;464&quot; height=&quot;261&quot;&gt;&amp;nbsp\; &amp;nbsp\;&amp;nbsp\;&lt;/p&gt;
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