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  • Course Description: This session aims to empower legal professionals with the tools and insights necessary to navigate the dynamic intersection of artificial intelligence and legal practice. Participants will not only expand their understanding of AI’s role in the legal domain but will also acquire hands-on experience with AI-powered tools that are revolutionising legal processes.

    Learning Objectives:
    • Identify and evaluate AI-powered tools for contract analysis and review, enhancing accuracy and efficiency in legal agreements.
    • Discuss and implement AI-based solutions for legal document generation, optimising the creation, organisation, and management of legal paperwork.
    • Explore and harness the benefits of integrating AI in legal research and analysis for more efficient and insightful decision-making.
    • Identify, assess, and address specific Intellectual Property challenges associated with AI innovations in legal practice, ensuring the protection of intellectual assets in a technology-driven legal landscape.

  • Course Description: This session aims to equip legal professionals with the knowledge, competencies, and skills essential for navigating the evolving landscape of AI in the legal domain. Participants will not only comprehend the intricacies of AI in law but will also develop proficiency in leveraging AI tools to enhance legal research, analysis, and decision-making.

    Learning Objectives:
    • Define the concept of AI in the legal context, understanding its fundamental principles and applications specific to the legal profession.
    • Evaluate the advantages and drawbacks of AI in legal processes, recognising its potential to enhance efficiency, accuracy, and decision-making while addressing inherent limitations and challenges.
    • Explore real-world applications of AI in law, recognising practical implications for legal research and analysis.
    • Analyse the ethical and legal considerations associated with AI integration in judicial systems, emphasising the need for responsible and ethical AI use in the legal profession.

  • Course Description:
    This session covers how companies can make use of AI to optimise their operations and increase overall efficiency. It also explores different types of AI technologies that can be used to automate and streamline business processes. Also covered are relevant case studies and best practices for implementing AI solutions in successful organizations.
    Topics:

    a)Introduction to AI-powered Business Operations
    b)Types of AI Technologies for Business Operations
    c)Best Practices for Implementing AI Solutions
    d)Evaluating ROI of AI Investments

    Learning Objectives:
    •Discuss the benefits of using AI in business operations and familiarise applications in successful organisations
    •Explore the different types of AI technologies that can be used to automate and streamline operations e.g., robotic process automation (RPA), natural language processing (NLP), and machine learning (ML)
    •Analyse company case studies on their successful AI implementation from the identification of the right use cases, selection of appropriate AI tech, building infrastructure, and the development of processes that support the AI solutions
    •Evaluate the ROI of AI investments in terms of cost savings and productivity gain, measure implementation success, and use data for sustainability and continuous improvement

  • Course Description:
    This course focuses on the opportunities as well as challenges in regulating AI systems and understanding the need for new regulatory strategies to govern and regulate AI systems and their impact on society.

    Learning Objectives:
    • Identify various AI frameworks and evaluate different approaches to governing AI systems and their effectiveness
    • Analyse the role of governance in shaping AI development and its impact on society
    • Identify current and future challenges and opportunities in regulating AI systems

  • This course is in partnership with the British University (Dubai) Code: BB57-04

    Our Construction Law and Arbitration course has been meticulously crafted to empower lawyers with the essential knowledge and skills required to navigate the complexities of construction disputes, and more importantly, to provide them with a robust understanding of arbitration as a preferred method of dispute resolution within the construction industry. With a focus on the UAE’s legal framework, which is renowned for its progressive approach to construction arbitration, this course serves as an invaluable resource for lawyers and professionals in the construction field seeking to excel in the field of construction arbitration.

    .There will be coffee and lunch breaks

    A certificate will be provided by the British University

    Course location – Hybrid
    In-person – The British University in Dubai, Dubai International Academic City, Dubai
    Online – Microsoft Teams

  • This session explores the intersection of AI and ESG, identifying risks and opportunities
    using AI-powered tools and techniques that will aid investors in navigating the complex
    ESG landscape and making informed decisions towards sustainability and their interplay
    with ESG performance.
    Learning Objectives:
    • Identify the components of ESG and explore related market forces
    • Examine the functionality of AI in processing ESG-related data for sustainable
    investing
    • Analyse ESG risks and opportunities using AI-powered tools and techniques
    • Develop sustainable investing strategies using AI and ESG

  • Course Description:

    This session talks about the ethical and governance concerns related to AI adoption in the judicial system, tackling issues of accountability, transparency, and responsibility.

    Learning Objectives:

    • Discuss the ethical and governance concerns related to AI adoption in the judicial system
    • Analyse the impact of AI on the role and responsibilities of judicial operators
    • Evaluate the effectiveness of current ethical and governance frameworks in addressing AI adoption in the judicial system
    • Develop strategies for ensuring transparency, accountability, and responsibility in AI adoption in the judicial system

  • Course Description:
    This session delves into the topic of AI algorithmic bias, explaining how it can occur and its implications for judicial decision-making.

    Learning Objectives:
    • Familiarise the concept of algorithmic bias and identify its potential impact on judicial decision-making
    • Discuss the ethical and societal implications of algorithmic bias in the judicial system
    • Evaluate the effectiveness of current AI algorithms ensuring fairness and avoiding bias
    • Develop strategies for mitigating algorithmic bias in the judicial system

  • Course Description:
    This session explores the opportunities and risks of increasing AI adoption in justice systems, highlighting key issues around data privacy, transparency, and accountability.

    Learning Objectives:
    • Identify the key opportunities and risks associated with AI adoption in justice systems
    • Discuss the ethical and societal implications of AI in the judicial system
    • Evaluate the impact of AI on judicial decision-making processes
    • Analyse the role of data privacy and transparency in AI adoption in the judicial system

  • Course Description:
    As AI technologies continue to disrupt industries and job markets, it is crucial for professionals and leaders to understand how to future-proof their skills and adapt their leadership styles to stay relevant and competitive. This session includes engaging discussions, practical examples, and expert insights, participants will gain valuable knowledge and strategies to navigate the AI-driven workplace effectively.

    Learning Objectives:
    • Determine the role of AI in shaping the future of work and identify the key skills required to thrive in an AI-powered world

    • Develop a personalized plan to future-proof their skills and stay ahead in their respective fields amid AI disruptions

    • Analyze the changing dynamics of leadership in the age of AI and implement strategies to lead diverse and AI-augmented teams effectively