DarshanTalks Podcast
Welcome to DarshanTalks!
We demystify fraud for legal, regulatory, and compliance essentials in the life sciences and pharmacy industries. Through engaging 15-30-minute interviews with influential change makers, short educational regulatory defbriefs, and 60 second audio takeaways, we unveil the strategies behind bringing drugs and devices to market—and keeping them there!
Powered By The Kulkarni Law Firm - Helping regulators see your business the way you do.
We focus on life science issues involving medical affairs, marketing and advertising, and clinical research so that you can learn about the industry, enhance your business and grow your career.
DarshanTalks Podcast
5 reasons not to use AI in creating pharma marketing content
We discuss the risks associated with using AI in your pharma marketing plans:
1. Data Privacy and Security: Ensuring the security and privacy of data, whether it pertains to patients or non-patients, is paramount.
2. Bias: Questions arise regarding the sources of information, control over data, and addressing privacy concerns to prevent biases and comply with regulatory standards set by organizations like the FDA and FTC.
3. Lacks Transparency: AI decisions must be transparent and understandable. Stakeholders need clarity on how decisions are made, and there should be traceability to ensure accountability and build trust in AI-driven processes.
4. Intellectual Property Concerns: There are significant legal concerns surrounding intellectual property rights when using data to develop AI models. Lawsuits from entities like The New York Times or Google underscore the importance of protecting proprietary information and ensuring compliance with intellectual property laws.
5. Consumer Protection: Implementing AI in marketing plans raises consumer protection issues. It's crucial to consider how AI-driven decisions may impact consumers and ensure that practices align with ethical standards and regulatory requirements to safeguard consumer interests.
By addressing these risks proactively, businesses can navigate the complexities of AI in marketing while minimizing potential pitfalls and ensuring compliance with legal and ethical standards.
