Business

AI Regulation for Consumer Applications: How to Prepare for the New Regulations 2025

2025 marks the end of the "Wild West" era of AI: AI Act EU operational by August 2024 with AI literacy obligations by Feb. 2, 2025, governance and GPAI by Aug. 2. California pioneers with SB 243 (born after Sewell Setzer suicide, 14-year-old developed emotional relationship with chatbot) mandating ban on compulsive reward systems, suicide ideation detection, reminders every 3 hours "I'm not human," independent public audits, penalties $1,000/violation. SB 420 requires impact assessments for "high-risk automated decisions" with right to appeal human review. Real Enforcement: Noom cited 2022 for bots passed off as human coaches, settlement $56M. National trend: Alabama, Hawaii, Illinois, Maine, Massachusetts classify failure to notify AI chatbots as UDAP violation. Approach three tiers risk-critical systems (healthcare/transportation/energy) certification pre-deployment, consumer-facing transparent disclosures, general purpose registration+security testing. Regulatory patchwork without federal preemption: multi-state companies must navigate varying requirements. EU from August 2026: inform users AI interaction unless obvious, AI-generated content labeled machine-readable.

The regulation of artificial intelligence is undergoing a momentous transformation in 2025, with a particular focus on consumer-facing applications. Companies using AI chatbots, automated decision systems, and generative technologies must prepare for an increasingly complex and rigorous regulatory landscape.

Theevolution of the AI Framework in 2025

The Normative Paradigm Change

The year 2025 marks the end of the "Wild West" era of AI development. The European AI Act went into effect on August 1, 2024, with the main provisions becoming operational during 2025: AI literacy obligations became effective on February 2, 2025, while governance rules and obligations for GPAI models became applicable on August 2, 2025.

The Three-Level Normative Approach

Emerging regulations follow an approach structured around three levels of risk:

1. Critical Infrastructure AI Systems: Applications in healthcare, transportation, energy, and financial markets now require pre-deployment certification, continuous monitoring, and meaningful human oversight.

2. AI Consumer-Facing: Applications that interact directly with consumers must provide clear communications about AI use, maintain comprehensive audit trails, and implement bias detection protocols.

3. AI General Purpose: General systems also require registration, basic security testing, and disclosure of training methodologies.

California's Pioneering Regulations.

SB 243: Protection from Chatbot "Predators"

California Senate Bill 243, introduced by Senator Steve Padilla, came about in response to the tragic suicide of Sewell Setzer, a 14-year-old Florida boy who took his own life after developing an emotional relationship with a chatbot.

SB 243 Key Requirements:

  • Prohibition of reward systems that encourage compulsive use
  • Implementation of protocols to detect and respond to suicidal ideation
  • Reminder every three hours that the chatbot is not human
  • Annual reporting to the Office of Suicide Prevention.
  • Mandatory independent audits with public results

The legislation provides for a private lawsuit with actual or statutory damages of $1,000 per violation, whichever is greater.

SB 420: California's AI Bill of Rights.

SB 420 aims to provide a regulatory framework to ensure that AI systems respect human rights, promote fairness, transparency and accountability. The legislation regulates the development and implementation of "high-risk automated decision-making systems" by requiring impact assessments to evaluate purpose, use of data, and potential for bias.

Consumer Notification Obligations: Under SB 420, individuals subject to automated decision-making systems must know when the tool is being used to make decisions about them, receive details about the system, and, where technically feasible, have the opportunity to appeal those decisions for human review.

The National Trend: Disclosure Requirements for Chatbots

Widespread Legislative Activity

Alabama, Hawaii, Illinois, Maine, and Massachusetts have all introduced regulations in 2025 that would make failure to notify when consumers interact with AI chatbots a violation of the Unfair or Deceptive Acts or Practices (UDAP), subjecting companies to Attorney General investigations and potential private actions.

Examples of state regulations (U.S.)

Hawaii (HB 639): Would classify as unfair or deceptive the use of AI chatbots capable of mimicking human behavior without first communicating it to consumers in a clear and visible manner. Small businesses that unknowingly use AI chatbots are exempt unless clear notifications are provided.

Illinois (HB 3021): Would amend the Consumer Fraud and Deceptive Business Practice Act to require clear notification when consumers communicate with chatbots, AI agents, or avatars that might lead consumers to believe they are communicating with humans.

The Existing Regulatory Framework

The California Pioneer Bot Law (2019)

California enacted the first bot disclosure law (Cal. Bus. & Prof. Code § 17940-17942) requiring disclosure when bots are used to "knowingly deceive" a person for business transactions or electoral influence.

The Complete Utah Approach

Utah's Artificial Intelligence Policy Act, effective May 1, 2024, requires consumer-facing bots to disclose "on demand" that consumers are interacting with "generative artificial intelligence and not a human."

Enforcement and Sanctions

California Application Record

In 2022, customers of the weight loss app Noom sued the company for allegedly violating California's bot disclosure law, claiming that Noom falsely represented that members would receive personalized plans from human coaches when they were actually automated bots. The parties reached a settlement worth $56 million.

Federal Supervision

The FTC issued guidelines requiring companies to "be transparent about the nature of the tool users are interacting with" and warned against using automated tools to trick people.

EU Regulatory Developments

AI Act Requirements

According to the EU AI Act, as of August 2026, AI providers must inform users when they interact with AI unless it is obvious. AI-generated content must be clearly labeled in a machine-readable manner, except for minor changes.

Implications for Businesses and Compliance

Broad Scope of Application

Even companies that do not consider themselves AI companies could use chatbots subject to regulation. Chatbots are pervasive in customer service, healthcare, banking, education, marketing and entertainment.

Implementation Challenges

Companies must navigate a fragmented regulatory landscape with varying requirements across jurisdictions. The lack of federal preemption means that companies must comply with different requirements in different states.

Compliance Strategies for Companies

1. Audit and Evaluation of Existing Systems

  • Complete inventory of all AI systems and chatbots used
  • Risk level classification for each system
  • Assessment of compliance with existing regulations

2. Implementation of Transparent Disclosure

  • Clear and visible notifications when consumers interact with AI
  • Simple and understandable language
  • Strategic positioning of disclosures in the user interface

3. Development of Security Protocols

  • Detection systems for malicious content or bias
  • Escalation protocols for high-risk situations
  • Continuous monitoring of system performance

4. Training and Internal Governance

  • Staff training on regulatory requirements
  • Cross-functional AI governance committees
  • Regular updating of company policies

The Future of AI Consumer Regulation

Emerging Trends

State legislators are considering a diverse range of AI legislation, with hundreds of regulations introduced by 2025, including comprehensive consumer protection laws, sector-specific regulations and chatbot regulations.

Competitive Impact

Organizations that prioritize AI governance will gain a competitive advantage, as proactive compliance is the key to unlocking the full potential of AI while avoiding legal pitfalls.

Conclusion

The regulatory landscape for consumer-facing AI applications is evolving rapidly, with California leading the way through comprehensive legislation addressing both chatbot security (SB 243) and transparency of broader AI decisions (SB 420).

This patchwork of state-level regulations creates compliance challenges for companies operating in multiple jurisdictions, while the lack of federal preemption means that companies must navigate varying requirements.

The emphasis on transparency, human oversight rights, and protection of vulnerable populations signals a shift toward more prescriptive AI governance that prioritizes consumer protection over innovation flexibility.

FAQ - Frequently Asked Questions about AI Consumer Regulation.

What are consumer-facing AI applications?

Consumer-facing AI applications are artificial intelligence systems that interact directly with consumers, including customer service chatbots, virtual assistants, recommendation systems, and conversational AI used in industries such as e-commerce, healthcare, financial services, and entertainment.

What are the main disclosure requirements for AI chatbots?

The main requirements include:

  • Clear and visible notification that the user is interacting with an AI system
  • Proactive disclosure for regulated sectors
  • Information on the nature and capabilities of the AI system
  • Right to request human intervention when technically feasible

Does SB 243 of California apply to all chatbots?

No, SB 243 specifically applies to "companion chatbots"- AI systems with natural language interfaces that provide adaptive, human-like responses and are capable of meeting users' social needs. Not all customer service chatbots necessarily fall under this definition.

What are the penalties for noncompliance?

Penalties vary by state but may include:

  • Civil fines of up to $20,000 per violation (Colorado)
  • Statutory damages of $1,000 per violation or actual damages (California SB 243)
  • Fines of up to $50,000 (Illinois)
  • Private lawsuits and injunctive relief

How can a company prepare for compliance?

Companies should:

  1. Conduct a comprehensive audit of all AI systems used
  2. Implement clear and transparent disclosures
  3. Develop security protocols and monitoring
  4. Train staff on regulatory requirements
  5. Establish internal AI governance committees.

Does the European AI Act affect non-European companies?

Yes, the AI Act applies to any AI system that serves users in the EU, regardless of where the company is based. Starting August 2026, providers will have to inform users when they interact with AI unless it is obvious.

What if my company operates in multiple US states?

Companies must comply with the laws of each state in which they operate. Currently, there is no federal preemption, so it is necessary to develop multi-state compliance strategies that meet the most stringent requirements.

Do small businesses have exemptions from AI regulations?

Some regulations provide exemptions or reduced requirements for small businesses. For example, Hawaii HB 639 exempts small businesses that unknowingly use AI chatbots as long as they comply after receiving proper notification.

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