The goal of this podcast is to ignite an investigative debate pertaining to the impact of the disruptive technology known as AI on employment across various industries and its consequences on workforce displacement and socio-economic consequences of such automation. By analyzing current Transparency guidelines, regulatory frameworks & lawsuits and sentiment analysis of AI Trust & Acceptance by consumers, we hope to uncover which sectors are vulnerable and how people and organizations are adapting for a more AI driven world.Key concepts covered in the course so far:
- ART of AI (Accountability, Responsibility and Transparency)
- Trust & Acceptance of AI
- Lawsuits pertaining to AI systems
- Bias & Stereotypes
- Industries Negatively affected:
- Creative (Art & Music) - Losing jobs to AI Copyright vs Fair Use -StabliyAI vs GettyImages
- Publishers of Articles & News (Wall Street Journal)
- Taxi/ Self Driving Vehicles -> Losing trust due to tesla accidents
- Medical (Companies selling user data)
- Social Media Recommendation Systems
- Programmers Losing Jobs
- Radiologies
- Consumers (Hand dispensers not detecting dark skin, or in China face detection not detecting black faces, Roomba has woman’s picture on facebook,
- WorkForce employment: Amazon Bias in Hiring Men
- Mismatch of Job Replacement (Spatial and skills mismatch)
- AI is going to centralize Wealth
- High EQ jobs will resist AI (Therapists, primary school teachers complex ethical relationships)
