AI Global Challenges
Digital World Divides
Increasing gap between developed and developing countries in terms of access to and implementation of AI technologies
Concerns about creating a digital divide that could widen existing socioeconomic disparities.
Widening Digital Gap between Developed, Developing States Threatening to Exclude World’s Poorest from Next Industrial Revolution, Speakers Tell Second Committee
Rise of Unemployment
Automation and AI technologies replacing human jobs, particularly in industries like health, manufacturing, customer service, and transportation.
Concerns about the need for retraining and upskilling the workforce to adapt to the changing job market
Will robots and AI cause mass unemployment?
Lack of Governance
Absence of comprehensive international agreements and governance frameworks for the responsible development and use of AI
Efforts to establish global norms to address ethical, legal, and security challenges associated with AI.
Proposed Regulatory Framework for Modifications to Artificial Intelligence/Machine Learning
Digital Bias
The data used to train AI may be biased, generating misleading or inaccurate information that could pose risks to health, equity and inclusiveness
UN chief Guterres backs proposal to form watchdog to monitor AI
WHO calls for safe and ethical AI for health
AI Dependency
Societal concerns about the impact of AI on mental health, including job-related stress, social isolation, and the potential dehumanization of certain industries.
Calls for the integration of mental health considerations in AI development and deployment.
Impact of artificial intelligence on human loss in decision making, laziness and safety in education
Lack of Regulation
The biggest challenges our era is facing are;
CHALLENGE #1: VELOCITY
CHALLENGE #2 – WHAT TO REGULATE?
CHALLENGE #3 – WHO REGULATES AND HOW
