Artificial Intelligence, Real Consequences: Balancing Good vs Evil AI [Infographic]

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Generative AI: The Democratization of Intelligent Systems.

A tale as old as time: good versus evil. Today, every developer faces the internal monologue of "good" vs. "bad" artificial intelligence — ethical vs. unethical, productive vs. unproductive, efficiency vs. job security. It's impossible to move forward without contemplating the mounting benefits and risks associated with this technology. Is AI bringing about positive change? What are the long-term repercussions? Let's explore the exciting yet intensifying pressure of AI.

Below are a few AI "goodies" and AI "scaries" based on our audience's feedback from our AI survey:

• 75% believe AI-powered assistants are the most valuable use case for multimodal AI
• 72% reported content generation as the top use case for LLMs
• 75% noted chatbots as the most worthwhile application of AI
• 56% use conversational AI for customer service
• 39% leverage data protection methods to secure AI practices and implementations
• 69% claimed the greatest risk of AI superintelligence is weaponization or misuse by bad actors
• 65% are extremely or somewhat concerned about AI superintelligence risks
• 72% stated that privacy and data protection are the top ethics concerns

This infographic illustrates common and helpful developer use cases for AI along with common fears and risks that come with the use of AI. Do the benefits outweigh the risks?

This is an excerpt from DZone's 2025 Trend Report, Generative AI: The Democratization of Intelligent Systems

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