Responsible Artificial Intelligence Testing

There is increasing pressure to regulate AI systems and make them more responsible, more fair, and less biased. Consumer advocates, regulators, and the public want assurances that AI systems are not unfairly discriminatory.

High-profile media reports have highlighted examples of biases in real-world AI applications and the public discourse around AI ethics continues to accelerate. Legislators are actively considering new regulations for ethical AI and companies want to preempt regulatory action by voluntarily testing their AI systems first, recognizing that ethical AI is essential for earning public trust. Responsible AI testing is an opportunity to fulfill the promise of AI in a way that does not unfairly discriminate.

Responsible AI testing involves:

• Careful review of training data, which is the source of most AI bias,
• Understanding the development process of AI systems, and
• Verifying that AI system outputs are used equitably and as intended.

DLA Piper’s independent Responsible AI testing services help businesses respond to and anticipate growing public scrutiny of AI use cases.

Certain sectors face greater scrutiny around AI ethics and algorithmic bias. Attorney-client privileged analyses of your AI systems tailored to your industry’s priorities and risks can identify and help mitigate issues before they become widespread.

Privileged AI testing will help businesses in industries facing increased regulation, including:

• Healthcare – Medical AI systems raise concerns about equity in healthcare.
• Insurance – New state laws call out discrimination in insurance algorithms, and active lawsuits allege misuse of AI by health insurers.
• Financial services – Regulators are focused on bias in AI systems used in banking and lending, and testing can help check that algorithms align with expectations.
• Employment – More jurisdictions are requiring proof that algorithms used in hiring aren’t unfairly discriminatory.

Staying on the right side of AI laws and norms is difficult, as compliance is a moving target. Proactive testing can address concerns around ethical AI and algorithmic bias, and helps organizations demonstrate their commitment to fairness and equity. Validating AI systems early against emerging standards, regulations, and norms can put businesses ahead of the curve in ensuring ethical AI practices.

With DLA Piper’s help, businesses can show leadership on AI accountability while also preparing for the regulatory road ahead.

In an era when algorithmic bias and discrimination are pressing issues, DLA Piper offers legal and technical acumen with a deep understanding of the intricate challenges posed by algorithmic bias in diverse industries. We are highly experienced in providing strategic guidance and solutions tailored to your organization’s needs. We are committed to facilitating fairness and equity in the age of AI.

The Responsible AI Testing Team conducts hands-on testing and technical review of our clients’ AI systems. Our services offerings include:

• AI/ML model evaluation
• AI/ML testing and validation
• Testing protocol design
• Bias risk assessment
• Legal red teaming
• Proactive compliance as a service
• Ad Hoc Data Analysis

Contact us to learn how our innovative legal services can help you navigate these challenges, ensuring ethical and inclusive AI practices.