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DTSTAMP:20260412T160126Z
DTSTART:20261006T073000Z
DTEND:20261006T084500Z
SUMMARY:AI for ESG: the opportunity and the bill
DESCRIPTION:AI is transforming how corporations approach environmental\, 
 social and governance (ESG) goals – from automating carbon accounting an
 d improving supply chain traceability to detecting human rights risks an
 d enhancing reporting accuracy.\n\nYet this promise comes at a price. AI
  models are energy-intensive\, often opaque and may embed social bias or
  create new accountability gaps. While some organisations use AI to genu
 inely strengthen ESG performance\, others risk engaging in 'AI-washing'\
 , leveraging AI narratives without delivering measurable impact.\n\nThis
  session will explore how global companies and their legal advisers can 
 balance innovation with responsibility\, understanding both the opportun
 ities and the hidden costs of deploying AI within ESG frameworks.\n\nThe
  panel will also discuss the intersection of responsible AI frameworks a
 nd ESG regulations across regions and jurisdictions within the context o
 f the ICT sector and the transformative role that the sixth generation o
 f mobile communication systems (6G)\, which are envisioned as AI-native 
 network systems\, are expected to play in the future. In particular\, th
 e discussion will consider initiatives such as the European Union’s fort
 hcoming Code of Conduct for Sustainable Telecommunications Networks\, th
 e UK Regulatory Outlook on ESG and Telecoms\, and other emerging sustain
 ability standards and indicators.\n\nKey discussion points include:\n\n\
 n	Where AI genuinely enhances ESG performance\, and where it merely serv
 es as “AI-washing.”\;\n	The environmental footprint of AI (energy\, wate
 r\, and resource use) and its inclusion in ESG metrics\;\n	Governance an
 d liability: who is responsible for AI-driven ESG decisions and outcomes
 ?\;\n	The emerging regulatory landscape: from the EU AI Act to global su
 stainability reporting standards\, and how they intersect\;\n	Practical 
 guidance for lawyers on structuring responsible AI governance within cor
 porate ESG strategies\;\n	Combining Artificial Intelligence and geograph
 ical indications to promote sustainability\;\n	How can the IP System fos
 ter the use of AI in sustainable innovation?\;\n	IP protection for AI-dr
 iven ESG solutions (algorithms\, models\, data\, and outputs)\;\n	Encour
 aging green innovation through AI while preserving IP rights\;\n	How IP 
 laws can prevent misleading AI washing and ESG claims\;\n	How patent sys
 tems and IP incentives can promote sustainable AI design and responsible
  innovation\;\n	AI in space used for ESG purposes on earth and in space\
 ;\n	A discussion of how 6G is envisioned as an AI-native network\, where
  AI is embedded as a foundational and pervasive component rather than an
  auxiliary optimisation tool\;\n	And an exploration of how\, by incorpor
 ating AI-driven mechanisms for energy management\, resource allocation\,
  and data governance\, 6G directly supports Environmental\, Social\, and
  Governance (ESG) objectives: reducing carbon emissions\, promoting digi
 tal inclusion\, and ensuring transparency and accountability in automate
 d processes\n\n
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