March 2023

The US Pushing for Responsible AI in Military Use

The US Department of State has released a "Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy", outlining 12 best practices for responsible AI in military applications. The declaration emphasizes the importance of using AI in accordance with international law and developing auditable methodologies to avoid unintended consequences and bias. It has been signed by 60 countries, including the US and China. The US Department of Defense adopted its own Ethical Principles for Artificial Intelligence in 2020, with the aim of facilitating the lawful use of AI systems in both combat and non-combat functions. The Department's approach to Responsible Artificial Intelligence largely focuses on supplementing existing laws, regulations, and norms to address novel issues stemming from AI, with a focus on reliability, risk management, and ethics.

February 2023

SB-313: A Proposal for an Office of Artificial Intelligence in California

California State Senator Bill Dodd introduced Senate Bill 313 to regulate the use of AI in California. The Bill aims to establish the Office of Artificial Intelligence within the Department of Technology to guide the design and deployment of automated systems by state agencies, ensuring compliance with state and federal regulations and minimizing bias. It also prioritizes fairness, transparency, and accountability to prevent discrimination and protect privacy and civil liberties. The Bill lacks specific actions and enforcement guidelines, but future amendments will likely address this. Holistic AI offers compliance services for AI regulations.

December 2022

An Overview of the US AI Training Act 2022

The Artificial Intelligence Training for the Acquisition Workforce Act (AI Training Act) has been signed into law by President Biden, with the aim of educating federal agency personnel on the procurement and adoption of AI. The Act requires the Office of Management and Budget (OMB) to create or provide an AI training program to aid informed acquisition of AI by federal executive agencies, covering topics such as the science of AI, its benefits and risks, and future trends. The AI Training Act is part of a wider national commitment to trustworthy AI, including Executive Order 13960 and the Blueprint for an AI Bill of Rights.

November 2022

The Washington DC Algorithms Law: Stop Discrimination

The District of Columbia has introduced the Stop Discrimination by Algorithms Act to prohibit the use of algorithms that make decisions based on protected characteristics like race, sex, gender, disability, religion and age. The legislation would require annual audits and transparency from organizations, with failure to comply resulting in individual fines of $10,000 each. This three-pronged approach aims to mitigate algorithmic bias and discrimination, with the penalties applying to businesses possessing or controlling information on over 25,000 Washington DC residents, data brokers processing personal information and service providers. While the Act has received support from policymakers and academics, industry groups have criticized it as a compliance burden that could result in decreased credit access and higher-cost loans. The Act has set a national precedent that other states may follow.

What You Need to Know About Canada’s AI Law Proposals

Canada has proposed the Digital Charter Implementation Act, which would establish three acts for trust and privacy: the Consumer Privacy Protection Act, the Personal Information and Data Protection Tribunal Act, and the Artificial Intelligence & Data Act (AIDA). AIDA would set governance and transparency requirements for businesses that use or develop AI in Canada, including requirements relating to bias, transparency, risk mitigation, and record-keeping. The act would also establish the role of an AI & Data Commissioner to monitor compliance and order third-party audits as required. However, it is uncertain if AIDA will pass, and businesses that develop AI for personal information collection or use may have to answer to federal transparency and privacy protection expectations.