Feb 14
/
Naz
The Only „ism“ what I still like is „ „humanism
My rejection of a feminist-oriented AI is based on several considerations:
1. Universality of AI:
Artificial Intelligence should be universal and inclusive, meaning it should be developed without ideological, political, or cultural bias. A specifically feminist orientation could limit this universality and restrict the AI in its applications and benefits for society as a whole.
2. Gender Neutrality:
AI systems should not exhibit gender-specific biases, neither in their development nor in their application. Promoting a feminist AI could unintentionally lead to a bias that favors or disadvantages certain genders.
3. Promotion of Diversity and Inclusion:
It is important that the development of AI systems considers diversity and inclusion in all aspects. This includes taking into account various perspectives and experiences, not just those of a particular ideology or movement. An AI based solely on feminist principles could exclude other important perspectives.
4. Ethics and Neutrality:
Ethics in AI should be based on principles that ensure fairness, transparency, and justice for all users, regardless of gender, origin, or other characteristics. Too strong a focus on a specific ideology could undermine the development of ethically neutral AI systems.
5. Issue of Over-Politicization:
Emphasizing a feminist AI could lead to the over-politicization of technology, which could impair its acceptance and trust among the general public. AI should serve as a tool that is objective and impartial for the benefit of all people.
6. Risk of Bias:
Any ideological orientation carries the risk of introducing certain biases into the design and operation of AI. The goal should be to develop an AI that is free of any bias to make fair and unbiased decisions.
7. Flexibility and Adaptability:
AI systems must be flexible and adaptable to meet the rapidly changing needs and challenges of the global society. A fixed ideological orientation could limit this flexibility.
Developing an AI that follows ethical, safe, and gender-neutral principles while considering the needs and rights of all people is a goal I aspire to.
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Ali Hessami is currently the Director of R&D and Innovation at Vega Systems, London, UK. He has an extensive track record in systems assurance and safety, security, sustainability, knowledge assessment/management methodologies. He has a background in the design and development of advanced control systems for business and safety-critical industrial applications.
Hessami represents the UK on the European Committee for Electrotechnical Standardization (CENELEC) & International Electrotechnical Commission (IEC) – safety systems, hardware & software standards committees. He was appointed by CENELEC as convener of several Working Groups for review of EN50128 Safety-Critical Software Standard and update and restructuring of the software, hardware, and system safety standards in CENELEC.
Ali is also a member of Cyber Security Standardisation SGA16, SG24, and WG26 Groups and started and chairs the IEEE Special Interest Group in Humanitarian Technologies and the Systems Council Chapters in the UK and Ireland Section. In 2017 Ali joined the IEEE Standards Association (SA), initially as a committee member for the new landmark IEEE 7000 standard focused on “Addressing Ethical Concerns in System Design.” He was subsequently appointed as the Technical Editor and later the Chair of P7000 working group. In November 2018, he was appointed as the VC and Process Architect of the IEEE’s global Ethics Certification Programme for Autonomous & Intelligent Systems (ECPAIS).
Trish advises and trains organisations internationally on Responsible AI (AI/data ethics, policy, governance), and Corporate Digital Responsibility.
Patricia has 20 years’ experience as a lawyer in data, technology and regulatory/government affairs and is a registered Solicitor in England and Wales, and the Republic of Ireland. She has authored and edited several works on law and regulation, policy, ethics, and AI.
She is an expert advisor on the Ethics Committee to the UK’s Digital Catapult Machine Intelligence Garage working with AI startups, is a Maestro (a title only given to 3 people in the world) and expert advisor “Maestro” on the IEEE’s CertifAIEd (previously known as ECPAIS) ethical certification panel, sits on IEEE’s P7003 (algorithmic bias)/P2247.4 (adaptive instructional systems)/P7010.1 (AI and ESG/UN SDGS) standards programmes, is a ForHumanity Fellow working on Independent Audit of AI Systems, is Chair of the Society for Computers and Law, and is a non-exec director on the Board of iTechlaw and on the Board of Women Leading in AI. Until 2021, Patricia was on the RSA’s online harms advisory panel, whose work contributed to the UK’s Online Safety Bill.
Trish is also a linguist and speaks fluently English, French, and German.
In 2021, Patricia was listed on the 100 Brilliant Women in AI Ethics™ and named on Computer Weekly’s longlist as one of the Most Influential Women in UK Technology in 2021.
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