Tag: legal

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Government 2

E138 Drago? Tudorache, Member of the European Parliament and VP at Renew Europe Group

Welcome to episode E138 of the AI Ireland podcast, the show that explores the applications and research of Data Science, Machine Learning and Artificial Intelligence on the island of Ireland.

Our mission is to increase the use of AI for the benefit of our society, our competitiveness and everyone living in Ireland.

Today’s guest is Dragoș Tudorache, Member of the European Parliament and Vice-President of the Renew Europe Group. He is the LIBE rapporteur on the AI Act, and he sits on the Committee on Foreign Affairs (AFET), the Committee on Civil Liberties, Justice and Home Affairs (LIBE), the Committee of Inquiry to investigate the use of Pegasus and equivalent surveillance spyware (PEGA), the Subcommittee on Security and Defence (SEDE), and the European Parliament’s Delegation for relations with the United States (D-US). He was the Chair of the Special Committee on AI in the Digital Age (AIDA).

Beginning his career in 1997 as a judge in Romania. After working on justice and anticorruption at the European Commission Representation in Romania, supporting the country’s EU accession, he joined the Commission as an official and subsequently, qualified for leadership roles in EU institutions. He was elected to the European Parliament in 2019. Dragos’ current interests in the European Parliament include security and defence, AI and new technologies, transatlantic issues, the Republic of Moldova and internal affairs.

Topics include:

  • The vote on the AI Act and timeline for phased implementation
  • The AI Act’s aim to protect citizens from tech risks and ensuring rights
  • Balancing human protection with innovation enablement through various measures
  • How the AI evolution prompts legislative updates for deep fakes, democracy etc.
  • Why society needs preparation for an AI-driven future
  • Establishing coherence & protecting shared societal values
  • How the AI Act will ensure positive AI transformation, alleviating societal fears 
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News

How is AI being applied to business?

Artificial Intelligence is still an unfolding technology, and its complete influence and advantages remain untapped. AI breakthroughs are among various elements causing disruption in current markets and facilitating fresh digital business projects. Moreover, AI finds applications in diverse sectors, companies and roles in many ways.

Here are a few examples of AI application in business operations:

1. AI in Human-like Communications

Machine learning is paving the way for AI applications such as chatbots, autonomous vehicles, and smart robots that replicate human communications.

2. AI in Biometrics

Through deep learning techniques, AI provides solutions like facial recognition and voice recognition. Neural networks are used to hyper-personalize content through data mining and pattern recognition.

3. AI in IT Operations/Service Desk

AI facilitates IT support with Virtual Support Agents, ticket routing, information extraction from knowledge management sources, and providing answers to common questions.

4. AI in Supply Chain Management

AI assists with predictive maintenance, risk management, procurement, order fulfilment, supply chain planning, promotion management, and decision-making automation.

5. AI in Sales Enablement

AI can help identify new leads, nurture prospects through intelligent tracking and messaging, as well as improve sales execution and revenue through guided selling.

6. AI in Marketing

AI enables real-time personalization, content and media optimization, campaign orchestration, and uncovers new customer insights for effective marketing deployment.

7. AI in Customer Service

AI predicts customer needs and proactively deflects inquiries. Virtual customer assistants equipped with speech recognition, sentiment analysis, and automated quality assurance provide round-the-clock customer service.

8. AI in Human Resources

AI facilitates recruitment processes, skills matching, and leverages recommendation engines for learning content, mentors, career paths and adaptive learning.

9. AI in Finance

AI helps in dynamic processes requiring judgment and handling unstructured, volatile, high-velocity data. Examples include new accounting standards compliance, expense reports review, and vendor invoice processing.

10. AI in Sourcing, Procurement, and Vendor Management (SPVM)

AI assists in spend classification, contract analytics, risk management, candidate matching, sourcing automation, virtual purchasing assistance, and voice recognition.

11. AI in Legal

AI finds use in contract assembly, negotiation, due diligence, risk scoring, life cycle management, e-discovery, invoice classification, and more.

As enterprises adopt AI more widely, it’s inevitable that accompanying threats will arise, potentially posing significant risks to the organization. It’s crucial that these threats are assessed proactively to bolster stakeholder confidence in AI.

By 2025, it’s anticipated that regulations will demand greater emphasis on AI ethics, transparency and privacy. Far from inhibiting AI, these requirements will likely foster trust, stimulate growth and enhance the global performance of AI.

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Finance 2

E94 AI Awards 2022 Finalist Brendan Doherty, ML Engineer at Allstate Northern Ireland

Welcome to episode 94 of the AI Ireland podcast, the show that explores the applications and research of Data Science, Machine Learning and Artificial Intelligence on the island of Ireland.

Continue reading “E94 AI Awards 2022 Finalist Brendan Doherty, ML Engineer at Allstate Northern Ireland”
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Finance 2

E48 Brian McElligott, Partner at Mason Hayes & Curran

Welcome to episode 48 of the AI Ireland podcast, the show that explores the applications and research of Data Science, Machine Learning and Artificial Intelligence on the island of Ireland.

Continue reading “E48 Brian McElligott, Partner at Mason Hayes & Curran”