3.6E AI dilemmas

AI Carbon Footprint

• The environmental cost of training and running AI systems.

• The financial cost of developing AI technologies.

• The energy consumption of AI hardware.

• The data storage requirements for AI models.

AI Governance

• Policies and regulations guiding the development and use of AI.

• A set of algorithms for machine learning.

• A framework for ethical hacking.

• Guidelines for social media marketing.

Transparency

• The degree to which the workings of an AI system can be understood.

• The ability of an AI system to operate without human intervention.

• The speed at which an AI system processes data.

• The level of security in an AI system's operations.

Model Versioning

• Tracking changes in AI systems to ensure transparency and reliability.

• A method to increase the speed of AI algorithms.

• A technique for data encryption in AI models.

• A process for optimizing hardware performance in AI systems.

Google Search Ranking

• AI algorithms influence what information people see.

• Search results are determined solely by user location.

• The number of ads on a page affects ranking.

• Content length is the only factor in ranking.

AI Ethics

• The study of algorithms used in AI systems.

• The field concerned with the moral implications of AI.

• The technical aspects of AI programming.

• The history of artificial intelligence development.

LAWS Discussions in UN

• Many countries have enacted laws to restrict autonomous weapons.

• Only a few countries have enacted laws to restrict autonomous weapons.

• All countries have enacted laws to restrict autonomous weapons.

• Most countries are in favor of autonomous weapons.

Apple Card Gender Bias

• Alleged discrimination in credit limits issued to women.

• Equal credit limits for all genders.

• Higher credit limits for women compared to men.

• No discrimination in credit limits based on gender.

Data Privacy

• Concerns about how user data is collected, stored, and used by AI.

• The process of encrypting data to protect it from unauthorized access.

• A method for sharing data between different AI systems.

• The legal framework governing data usage in social media.

Fairness

• Ensuring AI systems treat all individuals and groups equitably.

• Prioritizing speed and efficiency in AI decision-making.

• Maximizing profit for AI developers and companies.

• Minimizing the use of data in AI training processes.