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Subject to change as details are confirmed.
The advent of generative AI has put before us an almost infinite number of new use cases for AI. The question we need to ask before we take one single step is not “What could we do?” but “What should we do?”
Now in its sixth year, the State of AI report has become a popular bellwether for the AI industry, pointing out trends and making predictions for the year ahead. This year’s report offers insights and predictions on AI research, industry advancements, politics, and AI safety.
Providing a resource for U.S. policymakers, a committee of MIT leaders and scholars has released a set of policy briefs that outlines a framework for the governance of artificial intelligence. The aim is to help enhance U.S. leadership in the area of artificial intelligence - limiting harm that could result from the new technologies while encouraging exploration of how AI deployment could be beneficial to society.
The extraordinary ubiquity of generative AI has seen the technology applied to health care and life sciences, energy, transportation, and more – every use case incorporating unstructured data analysis beyond the capability of any human. This session explores the unexpected areas of impact and implications for the global population.
Networking and refreshments for our live audience.
In today’s rapidly evolving landscape, the integration of artificial intelligence is fundamentally transforming industries, presenting both opportunities and challenges. As AI becomes more integrated, there's a pressing need to nurture a workforce that's leveraging AI technologies and also combining it with human intuition to maximize its potential. This panel discussion will delve into the ways AI can augment human intuition, ensuring that technology serves as a tool for enhancing productivity, innovation, and economic growth while safeguarding against potential threats to traditional job roles. We’ll highlight strategies for fostering collaboration between nations, governments, and stakeholders to build an AI-ready workforce that thrives in this evolving era.
As AI continues to weave itself inextricably into the social and economic fabric of our world, many opinions have been voiced on how to ensure equitable and responsible use of its decision-making capabilities. Fostering transparent, open processes; safeguarding with regulatory frameworks; and ensuring legal accountability are among the controls we will discuss.
Last March, Yoshua Bengio, Elon Musk, Steve Wozniak, and thousands of others signed an open letter calling for AI labs around the world to immediately pause the training of AI systems more powerful than GPT-4 for at least six months to allow for the development of safety protocols. It didn’t work. Or did it?
With the recent passing of the European Union AI Act, Biden’s Executive Order on Safe, Secure, and Trustworthy AI, and California’s proposed new safe AI regulations, the American and global regulatory environment for AI is rapidly changing. This session explores the plethora of new regulations and their impact on those creating the AI systems that are fast becoming the technical pillars of our digital society.
Several interesting legal battles are underway that will set precedents around the fair and responsible use of AI. Issues of copyright, algorithmic bias, privacy, liability, labor, and consumer protection are all being argued with resulting decisions that will guide and control the use of AI going forward. We put intellectual property, fair use, and the very meaning of copyright itself, on trial.
Over the last twenty years, technology has played an increasingly prominent role in elections. From amplifying candidates' voices to the ethical challenges of misinformation, AI and digital strategies are reshaping the modern politician and the very future of democracy.
In 2024, over 40 national elections will happen around the world, making it one of the most consequential political years in history. At the same time, generative AI has enabled an entirely new age of misinformation. And it's all coalescing with major shakeups at social media companies and information platforms. What does the intersection of technology, social media, and information consumption mean for democracy?
In a world of synthetic media and generative AI, authenticity is everything. What we buy, who we communicate with, and what we believe are all influenced by images and videos. Digital content authentication technologies are attempting to address the issues of misinformation and disinformation caused by generative, manipulated, or deepfake digital content.
Micro-influencers—social media accounts with large but not huge followings, who are likely influential at a local level—are an emerging feature of political campaigns. This strategy allows campaigns to plug into a specific group of people via a trusted voice. In addition to posting for cash, influencers can also help campaigns understand their audience and platforms. The strategy seems to operate in a bit of a legal gray area, powered by AI.
Networking and refreshments for our live audience.
We stand at the dawn of generative AI innovation, only beginning to grasp its transformative potential. As this nascent technology matures, its creative and adaptive capacities will redefine industries, enhance human-machine symbiosis, and unlock uncharted realms of possibility. We introduce some of the pioneers breaking new ground with AI.
We have entered an era where AI has reshaped the creative process, from driving ideation and increased efficiency, to unlocking magical design possibilities. We explore the technology that allows artists to bring their visions to life at the speed of imagination and discuss the ethical and legal implications of generated imagery.
To increase the predictive powers of large language models, it’s incumbent on businesses to train them on as much data as possible. Problems arise though when LLM outputs leak the private data on which they’ve been trained. We explore privacy-preserving methods that keep secrets secret and help organizations maintain compliance with privacy regulations such as GDPR.
New generative models have been released which enable video content creation from text instructions. These models understand not only what the user has asked for in the prompt, but also how those things exist in the physical world. What will this mean for future AI models? And more importantly, what safeguards need to be put into place to prevent misinformation, bias, and hateful content?
Generative AI’s predictive capabilities are derived from the power of large language models. We peer into the labs of the large model makers in a search for the exponential innovations that lie beyond generative AI.
We sit down with the search giant to explore Google’s AI research, development, and strategy. We’ll hear the vision underlying new breakthroughs such as Gemini; a multimodal model capable of reasoning seamlessly across text, images, audio, video, and code; and hear what the future shape of AI might look like at Google and beyond.
To many, the real commercial potential of generative AI lies in its application. Most of the tangible benefits and innovations will emerge from how these AI models are applied in various industries and domains. With its diverse range of services and sectors, from e-commerce and entertainment to home automation and cloud services, we explore the cloud giant’s strategy to integrate generative AI into every product.
Since the great reveal of ChatGPT in late 2022, OpenAI has been synonymous with generative AI. This session will explore recent and upcoming innovations including an unwavering focus on safety and responsible AI, new support for creating AI Agents, and text-to-speech capabilities.
Networking and refreshments for our live audience.
From cutting-edge technology to pioneering scientific breakthroughs, this session provides a sneak peek into the forefront of innovation emerging from the renowned laboratories of MIT. Explore the possibilities currently hosted in the imaginations of MIT’s leading researchers.
Liquid neural networks hold the promise to be more efficient in terms of data and training, more adaptable with an ability to continuously absorb new information, and extremely well suited to processing constant streams of time-series data from financial markets and sensors. Could this be the next generation of AI?
In the emergency room, any action that can accelerate a diagnosis can reduce patient wait times and improve patient care. Advances in medical image analysis are now enabling doctors to interpret radiology reports and automate incident documentation. This session explores both the challenges of working with sensitive personal data and the benefits of AI assisted healthcare for patients.
Decentralized artificial intelligence systems use blockchain technology to distribute, process, and store AI data and models across a network, addressing many of the concerns of current AI systems including transparency, privacy, and the concentration of AI power in the hands of a few organizations. We explore this AI architecture and its potential to make AI development more democratic and trustworthy.
AI is on a path to seamlessly integrate into the workplace, leveraging its capabilities for enhanced efficiency, data-driven decision-making, and innovative problem-solving. The next-generation workforce will harness AI tools to redefine roles, foster collaboration, and drive forward-thinking strategies.
In our rapidly evolving work environment, the traditional concepts of jobs and workplaces are transforming. As AI and automation capabilities are rapidly maturing and proliferating across organizations, it is critical for organizations to engage the workforce to navigate the evolution of how & where work gets done. By focusing equally on business outcomes and human outcomes, organizations will be positioned to thrive in the boundaryless world of work.
How can new technology tools like generative AI improve productivity and product quality for firms, as well as flexibility and job quality for workers? MIT’s Work of the Future Initiative has convened a working group of industry, policy, and academic leaders to examine how the design and implementation of generative AI tools can contribute to higher-quality jobs and inclusive access to the latest technologies.
Automation and machine learning will radically change the recruitment process, enabling employers to find the most appropriate candidates for a job opening more efficiently than traditional headhunting. AI has the potential to give people opportunity and agency and eliminate barriers for underserved talent to accessing quality jobs. We explore the combination of AI screening and human judgement that can uncover the ideal candidate traditional recruiting methods might otherwise miss.
Executives across industries are keenly aware of GenAI’s potential, and they’re eager to reap the benefits. But they don’t know where to start. Their biggest challenge is prioritizing opportunities — answering the question: Of all the possible GenAI efforts we could pursue, which ones will help us the most and have the greatest chance of success? By breaking down jobs into individual tasks it is possible to quantify the benefits of generative AI and develop an efficiency-prioritized implementation strategy.
Networking and refreshments for our live audience.
The algorithm is the new competitive differentiator. We explore how successful businesses have enhanced customer experiences, refined marketing campaigns, and streamlined logistics for competitive advantage and market success.
AI is redefining the way we design and interact with digital products. From personalized interfaces that adapt to individual needs to intelligent systems that learn and evolve, AI is poised to revolutionize the products we create and how we design them. This session explores how advances in agent reasoning, multi-modal input, and real-time processing are enabling a new generation of digital experiences.
Providing an AI-driven, data-rich experience where fans interact with analytics is key to engaging today’s sports fan. Recognizing that not all fans want the same experience, the challenge becomes one of storytelling and visualizations without the distraction of useless facts and figures. We explore the generation and visualization of analytics from the NFL and other professional sports enterprises with a view towards improving overall information sharing between colleagues and customers.
Artificial intelligence is moving from a curiosity to a core technology that impacts all aspects of online retailing for both sellers and consumers. We’ll cover how generative AI, real-time personalization, and immersive experiences, combined with responsible data usage and collection, are revolutionizing retail, increasing sales, and creating engaging experiences for consumers.