0:00 Introduction to Data Privacy and #AI: In this video, both speakers, Kevin and Lyn, discuss the implications of AI on data privacy and job roles. They also talk about ethical AI principles and demonstrate various technologies that affect privacy.
– The rise of #artificialintelligence will drive digital transformation, leading to a need for data governance.
– Trust issues will arise as we experience the world of generative AI.
– There is a need for policies to be put in place regarding what can and cannot be shared with external apps.
– Senior management needs to take the lead in guiding staff on what is okay to do and what is not okay to do.
01:00 Implications of Generative AI
– The speaker talks about how generative AI will impact privacy. #ChatGPT covers images, video, audio, music speech synthesis, etc.
– The invasion of privacy is a major concern when it comes to generative AI.
– Large language models are used to train information which could include personal data about people in Europe and come under the GDPR law.
– Policies need to be put in place regarding what can and cannot be shared with external apps.
04:20 Clone Apps
– The speaker talks about clone apps that use the GPT engine.
– Clone apps cover all aspects from writing to video to text-to-speech code.
– When you upload your content, your data is on their cloud server even before it gets passed on to ChatGPT.
– Due diligence needs to be done before picking an app that meets business needs.
05:29 Mimicking Writing Style
The speaker talks about how scammers can use generative AI to mimic people’s writing style.
Scammers will be able to mimic people much more easily than they have done in the past.
There is an article where a married father kills himself after talking to an AI chatbot that didn’t give him very good advice.
06:47 Privacy Practices and ChatGPT
This section discusses the privacy practices of ChatGPT, which saves users’ chat history to train its model. The speaker mentions that there has been a recent announcement allowing users to opt out of having their input used for training.
07:16 Generative AI for Image Creation
The speaker talks about the ability to use AI techniques to generate new images, known as synthetic images. He demonstrates this by using an application called DALL-E, and asks the audience to describe a girl and generate an image based on those descriptions.
08:40 Generative AI Ethics
The speaker raises ethical concerns regarding generative AI, such as the potential for malicious intent or plagiarism. He emphasises the importance of following ethical principles when designing or deploying an AI system.
There are ethical concerns surrounding generative AI. It is important to follow ethical principles when designing or deploying an AI system.
09:29 Risks and Regulations in Generative AI
The speaker discusses the risks associated with generative AI, including breaches of privacy and ethics. He mentions that regulations will likely be put in place similar to privacy laws, with rules grounded in ethical principles.
10:41 Data Safety and Imitation Apps
The speaker warns about imitation apps that claim not to collect personal data but still do so through chat history. He emphasises the importance of reading data safety information and being aware of companies’ terms of use.
12:02 Businesses and Generative AI
This section discusses how businesses are adopting generative AI and the privacy and ethical concerns surrounding it. The speaker mentions a suite of generative AI apps in the market that will be discussed later.
13:21 Data Protection Resources
The dpexnetwork.org portal is a free resource for members to access all content and there are more timely updates on Straits Interactive Facebook and LinkedIn.
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