Course Description: This 2-hour webinar is designed specifically for the members of DLAD seeking to deepen their understanding of the ethical implications of Artificial Intelligence (AI). As AI continues to evolve, legal practitioners are faced with new challenges and ethical dilemmas. This course will explore key topics within AI ethics, providing lawyers with the knowledge and tools necessary to navigate this complex landscape. Through real-world examples, case studies, and interactive discussions, participants will gain insights into ethical frameworks, regulatory considerations, bias and fairness in AI systems, and the legal responsibilities in AI-related cases. A. Introduction to AI Ethics and Legal Implications • Overview of AI technologies and their applications • Legal and ethical challenges posed by AI in various sectors • Introduction to relevant regulations and guidelines • Ethical Frameworks for AI Decision-Making B. Virtue ethics in the context of AI • Ethical decision-making models for AI developers and users • Case studies illustrating ethical dilemmas and their resolutions • Bias and Fairness in AI Systems C. Understanding algorithmic bias and its impact • Techniques for detecting and mitigating bias in AI algorithms • Legal implications of biased AI systems and relevant case law • AI and Privacy: Legal Considerations D. Privacy challenges in AI applications • Overview of privacy laws and regulations relevant to AI technologies • Balancing technological innovation with individual privacy rights • Legal Responsibilities and Accountability in AI-Related Cases • Case studies of AI-related legal disputes and their outcomes Learning Objectives: • Explain the concepts of algorithmic bias, fairness, and their implications in legal contexts. • Apply ethical decision-making models to analyze real-world ethical dilemmas in AI-related legal cases. • Analyze privacy challenges in AI applications, considering relevant laws, and propose solutions for legal compliance. • Evaluate the effectiveness of legal standards and regulations in addressing challenges posed by AI, and suggest improvements. • Develop guidelines and best practices tailored for legal professionals to navigate ethical challenges in AI-related cases.

An introduction to Islamic Finance and its key concepts. This session will provide an overview of Islamic Finance, principal Islamic Finance techniques and contracts, key financing structures and the role of Shari’ah approval and law firms. This session will look at the differences between Islamic and conventional financing, and will further cover the following structures in a debt finance context: -Pure and commodity based Murabaha; -Ijara wa iktina (lease with an option to purchase); and -Istisna’a.

A Federal Law No. 34 of 2021 on Countering Rumors and Cybercrimes came into effect on the 2nd of January 2022 and addresses the use of information technology or information technology equipment at a time where cybercrimes are on the rise. It provides a framework under which participation in a digital world and the use of information technology and/or information technology equipment is carried out in a manner that does not infringe the rights of others. In this course, we will tackle the following topics: 1) The definition of a cybercrime and its characteristics; 2) The different categories of cybercrimes; 3) The criminal liability associated to cybercrime and its elements; 4) Penalties for cybercrimes.

-Mergers and acquisitions (M&A) are a big part of the corporate finance world. -Commercial input is essential in M&A (mergers and acquisitions) transactions because it provides critical insights into the financial and strategic implications of the deal. Commercial input can come from various stakeholders, including investment bankers, financial advisors, lawyers, accountants. -Legal input consists of the following: Ensuring regulatory compliance Negotiating and drafting contracts and legal documentation Mitigating legal risks Resolving disputes -The core of the M&A process resides in the negotiation and drafting of the Sale and Purchase agreement (SPA).

A new law on civil procedure has been issued (Federal Law no. 42 of 2022) which replaces the Federal Law no. 11 of 1992 on civil procedure and its executive regulations issued under Cabinet Resolution no. 57 of 2018. The new law came into force on the 2nd of January 2023.It has introduced substantial changes and additions to the previous law that will be highlighted in this course.

Not all failures are unmitigated disasters. In fact, experiencing failure helps us avoid the same mistakes in the future, enhances our resilience and is a necessary part of growing our success in business, relationships, and life. The key to non-disastrous failure is to plan the best kind of failing. Join this session to learn how to think about, discuss and practice failure wisely to minimize unproductive failure while maximizing what we gain from failing wisely.

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 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