AI Integration and Ethics: A Responsible Path Forward
- 1. Confidential Copyright © 1 AI Integration and Ethics Quinn Evans, Porter Johnson, Myo Sein 1
- 2. Confidential Copyright © ● What is AI? Understanding its role and growing impact on society. ● Ethics in Technology: Exploring fairness, privacy, accountability, and transparency in AI. ● AI Impact Analysis: Adoption rates, job displacement vs. creation, and public perception of AI. ● Responsible Integration: Strategies for ethical AI use and global collaboration. Introduction to AI integration and ethics 2 2 Neumont
- 3. Confidential Copyright © The Benefits of AI and Potential roles Automation: AI is already transforming industries by automating routine tasks, increasing efficiency in manufacturing, logistics, and customer service. Data Analysis: Machine learning algorithms process vast amounts of data, providing insights that humans might miss, improving decision-making in healthcare, marketing, finance, etc. AI in Healthcare: AI-powered tools like diagnostic software can help doctors make quicker, more accurate decisions. For example, AI can detect early signs of diseases such as cancer based on medical imaging, improving survival rates. AI in Transportation: Autonomous vehicles (self-driving cars) are poised to change how we travel, offering the potential for increased safety, reduced traffic congestion, and more sustainable transportation options. Roles of AI AI in healthcare Automatio n Data Analysis AI in transport ation Increased efficiency and productivi ty 3 Potential Benefits 3 Neumont
- 4. Confidential Copyright © Key Ethical Concerns Algorithm Bias: The risk of discrimination embedded in AI systems due to biased training data or design flaws. Cybersecurity: Ensuring AI systems are protected against malicious attacks and data breaches. Privacy: Balancing innovation with the ethical handling of personal data. Inclusiveness: Building AI systems that serve diverse communities equitably. Real-World Example: Facial Recognition Technology: Controversies over racial bias and misuse in surveillance highlight the need for ethical AI practices. 4 Neumont
- 5. Confidential Copyright © AI Impact Analysis AI Adoption Rates: ● Rapid growth across industries like healthcare, finance, and retail. Job Displacement and Creation: ● Displacement: Jobs in manufacturing, transportation, and customer service are at risk. ● Creation: New roles in AI fields like data analysis and ethics. Public Perception of AI Ethics: ○ 58% thought AI could help them do their job more efficiently. ○ 55% thought AI will help society overall. ○ 82% cared if AI is ethical or not. 5 Santa Clara University 5 Neumont
- 6. Confidential Copyright © 1. Practical Guidance: ● Turn ethics into action with clear policies like bias- checking tools and transparent decision-making. 2. Ethics in Design: ● Embed fairness and accountability in data collection, model development, and testing. 3. Local Adaptation: ● Calibrate AI to regional laws, cultural norms, and societal needs. 4. Share and Scale: ● Promote ethical practices across teams using case studies, training, and collaboration. 6 Responsible Methods for AI integration 6 Neumont
- 7. Confidential Copyright © Case Studies 7 7 Neumont ○ LVMH The luxury conglomerate LVMH has created an "AI Factory" that serves as a repository of adaptable algorithms for its brands. They collaborate with Stanford University's Institute for Human- Centered Artificial Intelligence to set ethical and responsible AI use guidelines. Additionally, LVMH is investing in upskilling its workforce, with plans to train all 10,000 employees in AI to ensure responsible usage. ○ Google DeepMind Google DeepMind has established comprehensive frameworks to ensure their AI developments align with human values and address practical problems. Their approach includes responsible innovation and collaboration with local communities and experts. ○ Nvidia Corporation Nvidia is recognized for its commitment to ethical AI, emphasizing privacy, safety, and non-discrimination in its AI initiatives. The company sets industry standards and fosters trust among consumers through its responsible AI practices.
- 8. Confidential Copyright © Summary and call to Action Summary: ● AI is transforming society but requires ethical integration to ensure fairness, privacy, and trust. ● Key considerations include addressing algorithm bias, cybersecurity, and inclusiveness. ● Responsible practices, like embedding ethics in design and sharing learnings, are essential to ensuring that AI is ethical. Call to Action: ● For Organizations: Prioritize transparency, accountability, and adaptability in AI systems. ● For Policymakers: Develop and enforce global ethical standards built for AI. ● For Individuals: Stay informed, advocate for ethical AI, and participate in shaping its future. 8 8 Neumont
- 9. Confidential Copyright © Bibliography Harvard School of Business (14 Aug 2024)” 5 Ethical Considerations of AI in Business ” Harvard Business Review(10 May 2024)“ How to Implement AI — Responsibly” Markkula Center Santa Clara University (2025) “Ethics in the Age of AI“. 9 Neumont