We are delighted to confirm that Marketing Director, Anders Lange will speak at #RISK A.I. Digital, this month. 

Livestreaming March 20 and 21, #RISK A.I. Digital examines how we can harness AI technologies responsibly, ethically and safely.

Across two days, thought leaders, industry experts and senior professionals organisations will provide their insight, enabling audiences to understand how to mitigate risk, comply with regulations and achieve robust governance over AI.

Event speaker, Anders Lange is Marketing Director at Cedar Rose. A strategic thinker, Anders leverages over two decades of global experience across various industries, including Fashion, Entertainment, Tech, Retail, Technology, and Banking.

Anders will be at #RISK A.I. Digital to discuss the registration of AI content, and how we can safeguard against misinformation. Below, he goes over his professional journey and introduces the key issues.

Registering AI-Generated Content & Safeguarding Against Misinformation

  • Time: 12:45 – 13:15 GMT 
  • Date: Thursday 21st March (Day 2)

Click here to register for free to #RISK A.I. Digital

Could you briefly outline your career so far?

Throughout my diverse 20-year career, I’ve excelled in strategic advisory and leadership roles across sectors such as retail technology, marketing, and fashion. 

My expertise lies in driving expansion, enhancing customer experiences, and optimising operations. My roles have included leading a data and analytics-driven marketing department at Cedar Rose, strategising on retail strategy and expansion for luxury brands at LVMH, and advising the Danish government on environmental, social, and governance (ESG) strategies within the fashion industry. 

I’m currently pursuing an MBA in Artificial Intelligence at the University of Oxford, my educational background in business and marketing from Manchester Metropolitan University and the University of Aarhus underpins my professional achievements.

Where are we in terms of registering AI-generated content, and what benefits would the process bring?

The process of registering AI-generated content is still in its early stages, and by some estimates, we might be only about 5% of the way there. Currently, it’s relatively easy for individuals to distinguish between content created by AI, such as DALL-E and other platforms, and that created by humans.

However, as these platforms continue to develop and improve, it’s likely that distinguishing between AI-generated and human-created content will become increasingly difficult.

The benefits of AI-generated content for companies include the ability to produce creative materials quickly and efficiently. This can be especially advantageous for smaller companies that may not have extensive resources for content creation. However, there’s a nuanced perspective on the use of AI-generated content by larger corporations. 

While it offers them the same benefits of speed and efficiency, there’s a potential downside regarding credibility. Consumers may accept AI-generated content from smaller companies due to their resource constraints, but they may view its use by larger, more resource-rich companies with scepticism, potentially harming these companies’ credibility. 

This evolving landscape suggests a complex future where the ability to produce content rapidly and at scale using AI might need to be balanced with considerations of authenticity, transparency, and trust with audiences.

What are the primary steps that regulators and organisations should be taking to guard against misinformation spread through AI?

To guard against misinformation spread through AI, regulators and organisations can take several primary steps to ensure transparency and maintain public trust.

Based on the proactive measures already implemented in some marketing departments, such as drafting AI policies that mandate all AI-generated content to be clearly marked, here are the broader steps that could be beneficial:

Organisations should draft and adhere to clear policies regarding the use of AI in content creation, similar to the approach taken when stepping into a role like Marketing Director. This involves marking all AI-generated content and internal communications that utilise AI, ensuring transparency and credibility in all communications.

Regulators should establish laws requiring that all AI-generated content be clearly marked, similar to regulations around advertising disclosures. This step ensures that consumers can easily identify AI-generated content and assess its credibility accordingly.

Major platforms like Facebook, TikTok, and Google should be held responsible for identifying and labelling AI-generated content on their platforms. This requires them to deploy or enhance detection algorithms that can distinguish between human and AI-generated content, ensuring users are aware of the nature of the content they’re interacting with.

Implementing bans or strict regulations on AI-driven bots targeting individuals under the age of 18 can protect vulnerable audiences from manipulation. Social platforms specialising in AI interactions, like Character.AI, should be closely monitored or regulated to prevent exploitation or harmful influences on younger users.

By taking these steps, regulators and organisations can create a more transparent and trustworthy digital environment, safeguarding against the spread of misinformation through AI while still harnessing the technology’s benefits for innovation and efficiency.

Don’t miss Anders Lange exploring these issues in depth at #RISK A.I. Digital in the session:

Registering AI-Generated Content & Safeguarding Against Misinformation

Also on the panel…

  • Lori Fena, Co-Founder and the Head of Business Development, Personal Digital Spaces
  • Ira Goel, Founder, CEO



Registering AI-Generated Content & Safeguarding Against Misinformation

Time: 12:45 – 13:15 GMT

Date: Thursday 21st March (Day 2)

The session sits within a packed agenda of insight and guidance at #RISK A.I. Digital, livestreaming through March 20 and 21.

Discover more at #RISK A.I. Digital

AI is a game changer, but the risks of generative AI models are significant and consequential.

 The #RISK AI series of in-person and digital events features thought leaders, industry experts and senior professionals from leading organisations sharing their knowledge, and experience, examining case studies within a real-world context, and providing insightful, actionable content to an audience of end user professionals.

Attend the #RISK AI Series to understand how to mitigate these risks, comply with regulations, and implement a robust governance structure to harness the power of AI ethically, responsibly and safely.

Click here to register for free to #RISK A.I. Digital