Lesley Pinckney on The 2nd Annual State Of The Industry: AI Tech Trends 2024

Whether you're a creator, maker, entrepreneur, or executive, understanding the latest advancements in AI is crucial for staying ahead in today's rapidly evolving world. Lesley Pinckney, Head of Marketing, Incubation, and Disruptive Innovation (IDI) at Intel, will provide practical guidance on the status of AI technology today and where it's heading next, equipping you with the knowledge needed to make informed decisions in your industry.

Since joining Intel in spring of 2021, Lesley serves as Head of Marketing for Incubation & Disruptive Innovation. In this role, she oversees marketing and communication for the IDI business group, the Intel Incubation Program and all ventures within IDI. IDI combines vision technology and AI to develop vertically integrated solutions across categories like robotics, finance, healthcare and retail.

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"Global brands need to develop an understanding of the regulatory landscape. It is crucial for navigating the global AI ecosystem and ensuring responsible development and deployment of AI technologies. Each region's regulatory framework reflects its priorities, values, and approach to balancing innovation with ethical considerations.”

What do you need to know about AI Now? Lesley Pinckney believes that the most important things to consider include:

AI's Ubiquity: AI has become pervasive across various industries, impacting sectors such as marketing, finance, agriculture, and energy. Understanding how AI will disrupt specific verticals and roles within those industries is crucial for individuals and organizations.
Ethical Considerations: The development of AI brings forth ethical dilemmas, including issues of bias, discrimination, misinformation, and unintended consequences. Addressing these concerns requires proactive measures and responsible regulation to ensure AI technologies benefit humanity.
Regulatory Landscape: Different regions have adopted diverse approaches to AI regulation and governance. While the EU has implemented legislation safeguarding against AI misuse, the US has relied on executive orders, and China's stance remains somewhat opaque. Understanding regional regulations is essential for navigating the global AI landscape
- ‍European Union (EU): The EU has been proactive in legislating AI. They have implemented safeguards against potential AI misuse, including restrictions on biometric identifications by law enforcement, bans on social scoring and emotion recognition in certain contexts, and regulations on AI systems that manipulate human behavior. These regulations prioritize consumer rights, privacy, and protection against harmful AI applicationse.
- ‍United States (US): In the US, regulatory efforts have primarily come through executive orders. These orders focus on promoting AI safety, security, and trustworthiness. They mandate developers to share safety test results and critical information with the government, establish standards for AI systems, and prioritize protecting privacy, advancing equity, and supporting innovation.‍
- United Nations (UN): The UN takes a philosophical approach to AI, emphasizing humanist values and human rights. They aim to prevent AI from becoming autonomous or replacing human intelligence. The UN advocates for the development of AI based on ethical principles and societal values to ensure its responsible and beneficial use.‍
- China: China's approach to AI regulation remains somewhat opaque. While they have heavily invested in AI development, especially in areas like autonomous vehicles and automation, their regulatory framework and philosophical stance on AI are less clear compared to other regions. However, China's significant advancements in AI technology suggest a strong commitment to AI innovation
Industry Players: Key players in the AI industry, such as Google, Microsoft, IBM, and Amazon, are driving innovation and shaping the future of AI. Their collaborations, partnerships, and technological advancements contribute to the evolution of AI applications and solutions.‍
Practical Applications: Individuals should explore AI technologies through practical applications like chatbots, AI-generated art, personal assistants, and automation tools. Experimenting with these tools can provide insights into AI capabilities and potential use cases in various domains.