5 Hours
Course Description
In the ever-evolving landscape of cybersecurity, the stakes have never been higher. With cyber threats becoming more sophisticated and elusive, how can individuals and organizations stay one step ahead? The answer lies in harnessing the groundbreaking potential of Generative AI (GenAI). As the digital realm faces an unprecedented wave of challenges, this comprehensive course serves as your beacon through the complexities of GenAI in cybersecurity.
In an era where Artificial Intelligence (AI) permeates every corner of our lives, from the ways we work to how we interact personally and professionally, the ethical implications of these technologies have never been more paramount. Have you ever wondered about the profound impact AI might have on society, our privacy, decision-making processes, and even the future of work? Or perhaps, how we can harness the immense potential of AI while navigating its ethical pitfalls to create a future that is not only technologically advanced but also equitable and sustainable?
This comprehensive course is meticulously designed to cover the entire spectrum of ethical AI in software development. Whether you are intrigued by the nuances of bias in AI algorithms, the intricacies of data privacy, the vital need for accountability in AI decisions, or the emerging global regulations governing AI use, this course offers invaluable insights into each of these domains and more.
Embark on a fascinating journey with us as we delve into the foundations of ethics in AI. Explore the diverse landscape of AI in software development and grasp the core principles that guide the ethical use of AI technologies. As you progress, confront the real-world challenges in applying these ethical principles and consider the varying ethical considerations that arise with AI integration.
This unique course structure guides you through understanding and mitigating bias in AI systems – shedding light on how biases occur, their impacts on software solutions, and practical strategies for developing unbiased AI algorithms. Navigate the complex world of data privacy in AI-enabled software, learning how to effectively implement data privacy policies and practices in your AI projects.
Accountability stands as a cornerstone in ethical AI decision-making. Delve into the crucial aspects of accountability, including legal and ethical implications, frameworks for accountability, and how to build transparent AI systems that foster greater accountability. Crafting ethical guidelines for AI in software development emerges as a central theme, where we discuss key components, stakeholder involvement, and the practicalities of implementing and monitoring these guidelines.
Compliance frameworks for responsible AI use, AI and intellectual property rights, governance structures, design and development considerations, the societal impact of AI, and much more form the backbone of this course. Each section is filled with case studies, real-world examples, and projects that not only highlight the theoretical underpinnings but also provide hands-on experiences.
What sets this course apart is not just the breadth and depth of content but the emphasis on practical application. Through carefully designed assessments and projects, you have the opportunity to apply what you’ve learned to real-world scenarios – a chance to start new projects or incorporate ethical AI practices into existing ones, leaving you with portfolio – ready showcases of your skill in ethical AI development.
Designed with both beginners and advanced learners in mind, this course ensures that individuals at every level find value and are adequately challenged. Beginners receive a step-by-step walkthrough across complex topics, ensuring they grasp foundational concepts and build upon them confidently. For more advanced learners, we delve deeper into sophisticated ethical dilemmas, regulatory landscapes, and cutting-edge AI ethical frameworks and applications, preparing you to tackle the challenging ethical questions facing today’s AI developers and policy-makers.
In embracing this course, you’re not just gaining knowledge; you’re joining a movement towards responsible AI development. A movement that champions transparency, accountability, fairness, and sustainability in the fast-evolving domain of artificial intelligence. Whether you aim to shape the future of AI policy, lead AI projects with an ethical framework, or simply broaden your understanding of the ethical dimensions of AI, this course equips you with the knowledge, skills, and insights to make a meaningful difference.
The future of AI is not just about technological advancements but also about how these technologies align with ethical principles and the broader goals of society. By the end of this course, you’ll not only have a comprehensive understanding of ethical AI in software development but also the tools and confidence to apply these principles in practice.
Learning objectives
- Define AI ethics in software development (Remember).
- Explain AI’s role in data privacy (Understand).
- Apply principles of ethical AI use (Apply).
- Differentiate types of bias in AI (Analyze).
- Evaluate strategies for unbiased AI algorithms (Evaluate).
- Create a data privacy policy for AI projects (Create).
- Identify stakeholders in ethical AI development (Remember).
- Understand legal implications of AI decisions (Understand).
- Apply frameworks for AI accountability (Apply).
- Analyze case studies on AI governance models (Analyze).
- Evaluate effectiveness of AI compliance frameworks (Evaluate).
- Develop ethical guidelines for AI projects (Create).
- Recall key international standards for ethical AI (Remember).
- Explain AI’s impact on human rights (Understand).
- Use tools for ethical AI design (Apply).
- Analyze AI’s environmental ethics considerations (Analyze).
- Design corporate policies for ethical AI use (Create).
- Assess societal impacts of AI integration (Evaluate).
- Formulate strategies to engage stakeholders in AI ethics (Create).
- Summarize lessons learned from ethical AI challenges (Remember).
Topics covered
Click “AI in software development Ethical considerations-Download” to read the topics covered.
Course Duration:
This course may take up to 5 hours to be completed. However, actual study time differs as each learner uses their own training pace.
Course pre-requisites
There are no requirements or pre-requisites for this course, but the items listed below are a guide to useful background knowledge which will increase the value and benefits of this course:
- Basic understanding of artificial intelligence and machine learning concepts.
- Familiarity with software development cycles and methodologies.
- Awareness of ethical, legal, and societal issues related to technology.
The course is addressed to:
- Software Developers and Engineers – aiming to integrate AI into their projects while maintaining ethical standards.
- AI Researchers – focused on understanding the ethical implications of AI algorithms and seeking strategies for responsible AI development.
- Data Scientists – interested in addressing bias and privacy concerns in AI models they develop or utilize in their work.
- Technology Policy Makers – looking to draft regulations and guidelines that govern the ethical use of AI in software development.
- Compliance Officers – within technology companies who must ensure AI projects meet current ethical standards and comply with international regulations.
- Project Managers in AI Development – who need to manage risks and implement ethical AI practices throughout the software development lifecycle.
Training Method
The course is offered fully online using a self-paced approach. The learning units consist of videos. Learners may start, stop and resume their training at any time.
At the end of the course, participants take a Quiz to complete the course and earn a Certificate of Completion once the Quiz has been passed successfully.
Registration and Access
To register to this course, click on the Take this course button to pay online and receive your access instantly. If you are purchasing this course on behalf of others, please be advised that you will need to create or use their personal profile before finalizing your payment.
Access to the course is valid for 90 days.
If you wish to receive an invoice instead of paying online, please Contact us by email. Talk to us for our special Corporate Group rates.
Instructor
Peter Alkema is a highly accomplished Business and IT leader specialising in large scale technology delivery and digital transformation strategy implementation for leading financial services business. A proven record in driving the full development lifecycle at all levels across large and complex banking enterprises ensures a deep understanding of the challenges, opportunities and pathways to success for digital transformation in banking. By utilising innovation, awareness, and knowledge, able to drive high-level business strategy formulation, product and platform development, and change management.
Teaching 500k online students about Data Science, Machine Learning, Digital Transformation, Business, Academic, Self Development and Technology skills.
Business & IT leader specialising in large scale technology delivery, digital transformation and Agile software engineering (PhD). 24 years in the banking industry; 10 years consulting (Accenture) and 14 years working in banking (Absa & FNB).
Won the ITWeb Gartner Visionary CIO Of The Year in 2016 & featured on CNBC Africa. Founded and led the largest banking hackathon in South Africa which was featured on Harvard Business Review.
Professional skills: Digital Transformation, Technology, Agile, ERP, Programme Management, Innovation, Thought Leadership, Communication, Process Engineering, Online Training.
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