diff --git a/zklayer-whitepaper.pdf b/zklayer-whitepaper.pdf index 09f2cb8..d912a0f 100644 Binary files a/zklayer-whitepaper.pdf and b/zklayer-whitepaper.pdf differ diff --git a/zklayer-whitepaper.tex b/zklayer-whitepaper.tex index 66097f6..4ccc39f 100644 --- a/zklayer-whitepaper.tex +++ b/zklayer-whitepaper.tex @@ -94,7 +94,7 @@ \subsection{Background in AI and Web3} This subsection provides a brief overview of AI and Web3. -\subsubsection{Artificial Intelligence (AI)} +\subsubsection{Artificial Intelligence (AI)} Artificial Intelligence (AI) stands at the forefront of modern technological advancements, revolutionizing industries and reshaping the way we interact with technology. With its ability to mimic human cognitive functions, AI enables machines to learn from data, adapt to new inputs, and perform tasks that traditionally required human intelligence. From personalized recommendation systems to autonomous vehicles, AI applications permeate various aspects of our daily lives, offering solutions to complex problems and unlocking new possibilities for innovation. @@ -478,7 +478,7 @@ \section{Current Execution and Deployment} \footnotesize \begin{tabular}{|>{\raggedright\arraybackslash}p{1.9cm}>{\centering\arraybackslash}p{2.1cm}>{\centering\arraybackslash}p{1.3cm}>{\centering\arraybackslash}p{1.7cm}|} \hline -\textbf{8 Cores, 32 GB RAM, CUDA Accelerator} & \textbf{10 Cores, 32 GB RAM, Metal Accelerator} & \textbf{EZKL's Lilith} & \textbf{64 Cores, 128 GB RAM} \\ +\multicolumn{4}{|c|}{\textbf{Benchmarks using 8 Cores, 32 GB RAM, CUDA Accelerator}} \\ \hline BENCHMARK & \multicolumn{1}{c}{EZKL} & \multicolumn{1}{c}{RISC0} & \multicolumn{1}{c|}{ORION} \\ \hline @@ -664,7 +664,7 @@ \subsection{Potential Usages of ZKLayer} The significance of responsible AI has come to the forefront in recent years, especially following the startling revelations about ChatGPT, Sora, and other AI models. These incidents have prompted widespread discussions among people and governments, raising concerns about the future implications of AI. With the increasing reliance on AI for decision-making and various tasks, there is growing apprehension about the potential misuse of AI by companies and governments. Ensuring the correctness and reliability of AI systems becomes crucial in this context. While one simplistic solution may involve making all AI models publicly accessible for scrutiny, this approach could deter companies from investing in products that would be disclosed. Many prefer to safeguard the details of their models as intellectual property. Responsible AI emerges as a promising solution to address these concerns comprehensively. It encompasses principles and practices aimed at fostering ethical and accountable development, deployment, and use of AI systems, thereby promoting transparency, fairness, and trustworthiness in AI technologies. -Responsible AI refers to the ethical and accountable development, deployment, and use of artificial intelligence systems. It encompasses principles and practices aimed at ensuring AI systems operate in a manner that respects human rights, diversity, fairness, transparency, and privacy, while also minimizing potential biases and unintended consequences. Responsible AI involves robust governance frameworks, clear guidelines for ethical decision-making, ongoing monitoring and evaluation, and meaningful engagement with stakeholders throughout the AI lifecycle. By prioritizing responsible AI practices, organizations and developers can build trust with users, mitigate risks, and maximize the societal benefits of AI technologies. +Responsible AI involves robust governance frameworks, clear guidelines for ethical decision-making, ongoing monitoring and evaluation, and meaningful engagement with stakeholders throughout the AI lifecycle. By prioritizing responsible AI practices, organizations and developers can build trust with users, mitigate risks, and maximize the societal benefits of AI technologies. ZKML and other privacy-preserving machine learning (PPML) technologies hold the potential to fulfill various objectives of responsible AI. For example, social networks such as Twitter, YouTube, Instagram, and others utilize AI models to curate content for their users. However, they have faced accusations that these AI models do not exhibit fair behavior across different user groups. For instance, there have been discussions regarding YouTube's algorithm potentially discriminating against minority creators~\cite{YoutubeAlgorithmHackernoon}. Additionally, Facebook's algorithms have been criticized for promoting hate speech and toxic content~\cite{FacebookAlgorithmPeoplesDispatch}. Twitter has even acknowledged bias in its algorithm, particularly regarding right-wing politicians and news outlets, which can impact national policies~\cite{TwitterBiasTheGuardian}.