Divyansh Kaushik’s Post

From Jenner & Block: There has been, and there will continue to be, much attention on what the Federal AI Executive Order mandates, both inside and outside of the federal government, in the various areas the Federal AI Executive Order touches on. This article offers a different approach, evaluating the Federal AI Executive Order alongside the California AI Executive Order and the G7’s Hiroshima AI Code of Conduct, to offer a more robust picture of certain key risks and concerns companies should proactively work to mitigate as they build or integrate AI tools into their consumer- or enterprise-facing products and services. #executiveorder #california #artificialintelligence #g7 #ai

Wondering how last week's White House EO on AI compares to the EU's proposed AI Act? Covington & Burling LLP global tech regulatory team has done the work for you by comparing and contrasting the two in this post. #ai #articialintelligence

Interesting perspectives on use cases for Generative AI in government. Within guardrails for risk and ethics, there are some really interesting applications (e.g. policy/regulatory updates, drafting, legacy application migration). All of these could give a serious lift to the public service, while legislation such as the AI Data Act is developed.

⚖ Legislation takes time. ⌚ Before AI legislation will be enacted, organizations will have already poured billions of dollars into the development and integration of AI systems. 💰 To avoid wasted spending, it is important to build AI governance with regulators in mind. 🤖 What questions are the regulators asking? What should you be prepared to answer? Read insights from IAPP VP & Chief Knowledge Officer Caitlin Fennessy in "Regulators' rulebook for AI: Bit by bit": https://lnkd.in/gWkFPpVj

How does the White House's #AI EO compare to the EU's proposed AI Act? This Covington & Burling LLP blog highlights the key elements, https://okt.to/MKbv0c

How does the White House's #AI EO compare to the EU's proposed AI Act? This Covington & Burling LLP blog highlights the key elements, https://okt.to/SxNQPj

At IBM, principles of trust, transparency, and responsibility guide our innovations. Senator Thune’s draft Artificial Intelligence Innovation and Accountability Act is a critical effort to focus regulation on AI accountability and ethics.   This bill would take a risk-based approach to AI regulation, and require that consumers be told when they are using generative AI.   It’s time for Congress to develop targeted plans to ensure AI is brought to the mainstream in a safe manner. https://lnkd.in/eB6dQFJH

It is so important to ensure that the decisions about AI made today are going to continue to benefit all stakeholders into the future. This means compliance with regulations and applying the principles of AI, and responsible AI, across governance and decision making. As Caitlin Fennessy points out: "By the time hard laws are enacted, organizations will have poured hundreds of billions of dollars into AI systems development and integration. It is well worth building those systems and investing in AI governance structures with regulators' questions in mind."

Regulation by Design needs to be the way any enterprise solution leveraging AI is built today. Companies spent enourmous sums to retrofit processes post-GDPR. Learn the lesson. We now have the benefit of foresight as to what is coming. Get ahead of it. https://lnkd.in/gn9UE_m4

The calls for regulating artificial intelligence (AI) are getting stronger. Developers, business leaders, academics and politicians on both sides of the aisle are calling for new rules aimed at making AI more accountable.