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DTSTART;TZID=Europe/London:20230419T080000
DTEND;TZID=Europe/London:20230419T170000
DTSTAMP:20260522T053042
CREATED:20230419T100552Z
LAST-MODIFIED:20230419T100717Z
UID:6140-1681891200-1681923600@my-aci.com
SUMMARY:Relativity Fest London 2023
DESCRIPTION:ACi will be speaking at Relativity Fest 2023 to discuss its work on the new ISO investigations standard. \nIn 2022\, The International Standards Organization (ISO) commenced a consultation to develop a new standard – ISO 37008 – for the Internal Investigations of Organizations. The Association of Corporate Investigators (ACi) is involved in the drafting process as a Category A liaison organization in the ISO’s processes for consensus decision-making and stakeholder engagement within national standards bodies (NSBs) and liaison organizations. \nRegulations for each country differs and it depends on what data is being used\, where it sits and what software can be applied. These standards provide guidance on the governance and conduct of internal investigations.  Join us for an exciting conversation with the ACi for a discussion on the progress of these standards and what they bring to the investigations table. Also hear what trends in internal investigations the ACi are currently encountering.   \n  \nRegister
URL:https://my-aci.com/event/relativity-fest/
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DTSTART;TZID=Europe/London:20230419T120000
DTEND;TZID=Europe/London:20230419T130000
DTSTAMP:20260522T053042
CREATED:20230301T153921Z
LAST-MODIFIED:20230323T142300Z
UID:5903-1681905600-1681909200@my-aci.com
SUMMARY:A Principled Approach to using Sentiment Analysis in Investigations
DESCRIPTION:Sentiment and emotional analysis detect positivity\, negativity\, and other signals such as anger\, and desire across communications\, providing law firms and organisations with contextual visibility into the expression of emotions buried deep in data. One of the key challenges in using sentiment analysis is the potential for harmful biases in the underlying models.  \nIf a sentiment analysis model is capable of discriminating bias\, it may carry that bias over to its conclusions. As AI usage exponentially expands\, managing the risk of bias in models is becoming increasingly urgent. Especially in a legal setting\, we all have a part to play in actively measuring and managing bias so we can utilise AI that is ethical\, trusted\, and morally principled. \n  \nREGISTER \n  \n  \nPanel \n  \nSimon Scales\, Chief Strategy Officer \n \nSimon’s extensive international experience in corporate investigations includes significant Employee Misconduct\, Fraud\, Bribery\, Corruption\, Antitrust & Competition\, AML\, Sanctions\, Market Abuse and commensurate preventative / remedial measures. His 30 years of expertise in major investigation management\, covert and overt intelligence gathering\, relationship and stakeholder management\, Ethics / Compliance / Integrity related investigations and reviews demonstrate his proven ability to facilitate consensus through negotiation and collaborate with senior management across all geographies. \n  \nAaron Ahmadia\, Senior Director\, Applied Science \n \nDr. Aron Ahmadia is the Senior Director for Applied Science at Relativity\, where he leads the development of AI capabilities for Relativity One\, including AI-Assisted Review\, Analytics\, and search. Dr. Ahmadia is an internationally recognized expert on machine learning and artificial intelligence. His specializations include the use of AI in Legal Discovery\, Model Risk Management\, and responsible AI. He has previously held and adjunct faculty position with George Washington University and was an inaugural Professor of Computer Science at KAUST\, where taught one of the first Coed classes in the Kingdom of Saudi Arabia. Dr. Ahmadia has a breadth of US government service\, where he collaborated with various domestic intelligence\, regulatory\, security\, and space agencies in design and evaluation of novel systems for exploring and managing information at a massive scale. He also has significant enterprise and financial services experience. While serving in the Model Risk Office at Capital One\, he was an accredited Model Risk Officer responsible for supporting deployment decisions for key AI and machine learning capabilities in fraud defense\, underwriting\, and digital services. Dr. Ahmadia holds a Ph.D in Applied Math from Columbia University and a B.S. in Computer Engineering from the Illinois Institute of Technology. \n  \n  \nREGISTER \n  \n  \nSponsored by
URL:https://my-aci.com/event/sentiment-analysis/
LOCATION:Online
ATTACH;FMTTYPE=image/png:https://my-aci.com/wp-content/uploads/2023/03/Relativity-2023-Webinar.png
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